In this post, I will show you how to make a lip sync video using Dzine AI.

I wanted to see how good AI lip sync video tools actually are right now, not just based on flashy demos, but real, hands-on results.

So I tested Dzine AI myself.

I tried both methods it offers, compared the results, and broke everything down so you don’t waste time.

If you’re looking to create a realistic lip sync video using AI, this guide is for you.

What Is Dzine AI?

Dzine AI is an all-in-one AI art/visual content platform.

You can generate AI images and videos from simple text prompts, images, or your video files.

What makes Dzine AI especially interesting is its focus on video, specifically AI lip sync video generation using advanced models like Veo 3.

This feature is great for:

• Content creators
• Marketers
• Designers
• Educators
• Anyone who needs talking videos without filming

Let me show you how it works and what kinds of results you can expect from it.

Why AI Lip Sync Videos Matter?

A lip sync video automatically matches mouth movements, facial expressions, and body language to spoken dialogue.

Instead of filming yourself (or hiring actors), an AI lip sync video lets you:

• Create talking videos in minutes
• Update scripts without re-recording
• Produce consistent content at scale

This is where Dzine AI shines.

Two Ways to Make a Lip Sync Video on Dzine AI

Dzine AI gives you two different workflows, depending on what you want to achieve:

Method 1: AI Video Tool (Veo 3)
Method 2: Dedicated Lip Sync Tool

I tested both.

Below is exactly how they work and when to use each one.

Part 1: Using the AI Video Tool with Veo 3

This method is best if you want a cinematic lip sync video with movement, scenes, and storytelling.

Step-by-Step: How to Make a Lip Sync Video with AI Video

Step 1: Open the AI Video Tool. Log in to Dzine AI and click on AI Video from the dashboard.

Step 2: Choose Veo 3. Select Veo 3 as your model. This is the most advanced option and gives the best visual quality.

I recommend using the Veo 3.1, since it’s the latest model in the Google VEO family.

Step 3: Enter Your Prompt or Upload an Image.

You can either:

• Write a single detailed text prompt
• Or upload an image to guide the character design

Example prompt:

“A realistic presenter explaining a product, natural facial expressions, accurate lip sync video.”

Step 4: Generate the Video.

Click Generate and wait for the AI to render your AI lip sync video.

That’s it.

My Results

The results look impressive right away.

Facial movements feel natural, and the overall video quality is very high.

However, there are a few noticeable limitations.

Pros

• Supports storyboards and different actions
• Only one prompt needed
• No dialogue setup required

Cons

• Max video length is 8 seconds
• Longer videos require multiple generations
• You can’t upload your own audio

This method is great for short, high-impact lip sync video clips like ads or teasers.

But this is not necessarily the best model for lip-syncs, since it’s not dedicated to that. Veo 3.1 is more of an AI video generator model than a lip-syncing tool.

And that’s why we’re going to use the dedicated AI lip sync video feature in Dzine AI in the next step.

Part 2: Using the Dzine Lip Sync Tool

If your main focus is dialogue accuracy, this is the method you’ll probably want to use.

Step-by-Step: How to Make an AI Lip Sync Video with the Lip Sync Tool

Step 1: Open the Lip Sync Tool. From the dashboard, select Lip Sync.

Step 2: Choose or Upload a Character. Pick a preset avatar or upload your own image.

Step 3: Upload Your Audio.

This is the big advantage here.

You can directly upload voiceovers, dialogue, or narration. This was not possible in the Veo 3.1 approach!

But of course, you can also use the existing voice actors from the list as well.

Step 4: Generate the Video. Click Generate, and Dzine AI creates a highly accurate AI lip sync video.

If you have more than one character, feel free to use the Dzine AI multi-character lip-sync feature.

My Experience Dzine AI Lip Sync

The lip movements are extremely precise.

Body language feels natural, and the results are consistent, even in those longer videos.

This is where Dzine AI really stands out.

But honestly, it’s not perfect. The main problem is when the camera is far away from the object (who does the talking).

If that’s the case, the lip sync doesn’t work out that well. Also, the facial features are lost too, since there’s too little information for the AI to process.

But I haven’t found any solutions to this.

No matter what lip sync AI tools I use, this just always happens.

Let’s briefly discuss the pros and cons of Dzine’s dedicated AI lip sync tool too.

Pros

• Supports videos up to 5 minutes
• Direct audio upload saves time
• Multiple voice styles available
• Supports dialogue between up to 4 characters
• Faster and cheaper than AI Video

Cons

• Limited scene transitions
• Focuses mostly on dialogue and body language
• If you only have text, audio generation adds an extra step

AI Video vs. Lip Sync Tool: Quick Comparison

Feature	AI Video (Veo 3)	Lip Sync Tool
Max Length	8 seconds	5 minutes
Audio Upload	No	Yes
Visual Storytelling	Strong	Limited
Lip Sync Accuracy	Good	Excellent
Cost & Speed	Higher	Lower

To put it short,

• If you want cinematic visuals, use Veo 3.
• If you want accurate talking videos, use the Dzine lip sync tool.

It’s as simple as that!

Tips for Better AI Lip Sync Videos

You don’t need to be a prompt engineer or an AI wizard to use AI video and lip sync generators.

However, please remember that the output depends on the input.

So many people overlook this completely.

Here’s what worked best for me:

• Use clean, high-quality audio
• Keep dialogue natural and conversational
• Match voice tone to character style
• Test short clips before full videos

These small details make a big difference in AI lip sync video quality.

Final Thoughts

Dzine AI makes creating a lip sync video easy.

Between Veo 3 for cinematic visuals and the dedicated AI lip sync video tool for dialogue content, you can cover almost any use case.

If you’re serious about creating talking videos without filming, this is absolutely worth trying.

Try the official Dzine lip sync

Also, don’t forget that you can do a multi-character sync too!

The post How to Make an AI Lip Sync Video with Dzine AI (Veo 3 Tutorial) appeared first on codingem.com.

Today, I will share my opinion on VidIQ based on my experience and results.

Never Heard of VidIQ?

VidIQ helps you grow on YouTube by giving keyword insights, analytics, channel audits, and AI-powered recommendations.

It’s easy to use and works instantly on your channel.

But now, is it just hype or actually useful?

Let me walk you through what it offers and how it performs.

Disclaimer: This article is reader-supported. If you choose to pay for any of the tools mentioned here, I may earn a small commission at no cost to you.

My Experience

Before I jump into my experience, I want to be clear about something:

Most of VidIQ’s “AI features” look exciting on the surface… but in reality, they’re not very useful.

Things like the AI title generator, thumbnail ideas, or “viral score” feel more like hype than practical tools. They sound great, but when you try to actually use them, they don’t add much value. I don’t rely on them at all.

But there are two features that do matter — and they’re the reason I use VidIQ every single day:

1. Keyword Research — Simple, accurate, and the only part of VidIQ that consistently gives me real insights.
2. Video Progress Tracking — This shows how views accumulate on a specific video over time.
   This feature alone is incredibly valuable. It helps me spot topics that stay relevant, discover patterns, and identify ideas that smaller channels can actually rank for.

Because of these two features, VidIQ is still worth it for me.

Even if everything else disappeared, I’d keep using the tool just for these.

Here’s what I mean.

So let’s say you have a small channel and you want to find opportunities.

The best way to do it is by activating VidIQ on your channel and then opening up competing videos.

If the traffic continues to rise up like that, it’s a good sign.

Also, if you want to have a quick way to check this, just open up any channel and check the VPH number.

For example, on this channel we can see that some of the videos that are older than a year still get lots of views.

In other words, those topics get consistent traffic and make passive income.

That’s the ideal situation.

You want to end up with a video that gets a lot of passive views and income.

So this tool gives you a great idea on what’s working and which videos are thriving after time.

On the other hand, if you see that a video has just spiked in views and then it has died down, that’s a bad sign.

There’s nothing inherently wrong with this type of graph.

However, it just tells that most of the views are “viral views”, and not organic.

The problem there is that those viral views don’t convert to paying customers. In other words, the ad revenue and affiliate revenue are usually much lower.

In fact, I’ve seen on my channel that viral views make me 10-20x less money than those organic views.

That’s because the organic viewers have a problem that they have searched solutions for.

The viral views just scroll and watch videos randomly.

But this video view chart is not the only useful feature.

The other one that I use every day is the keyword research feature.

This shows you how many times people are searching for a specific topic on YouTube.

It also shows you how competitive that topic is.

If you have a small channel, you should only go for low competition terms.

If you have a bigger channel, you can try those more competitive topics too!

Also, this tool gives you suggestions related to your main keyword.

If the main topic is too competitive, you can find less competitive sub-sub topics here.

These can be great new video ideas or even talking points to your video.

These are the two core features I love in VidIQ and that I actually use.

All the rest of it is useless to me.

Pros

• Great for beginners and pros — makes YouTube analytics understandable.
• AI tools save tons of time (especially for titles and ideas).
• Daily ideas feature is extremely useful when planning content.
• Chrome extension adds helpful insights directly inside YouTube.
• Quick setup — you get value within minutes.

Cons

• Free plan is limited — you’ll need at least the Pro plan to get real value.
• AI tool quality varies depending on your niche; not all title ideas are perfect.
• Some advanced analytics require the higher tiers, which can get expensive.

Pricing

Here’s VidIQ’s current pricing:

Free — Basic analytics + limited features
Pro: $10/month — Keyword tools, basic AI features, SEO score
Boost: $49/month — Full suite of AI tools, daily ideas, keyword engine, channel audit
Max: $79–$99/month — Personalized coaching, advanced analytics, creator support

(Prices may vary depending on yearly vs. monthly billing.)

You can start with the Free or Pro plan, then upgrade if you need deeper insights.

Main Features

Before I wrap this up, let me quickly show you the core features of VidIQ:

• Keyword Research Tool — Helps you find high-volume, low-competition keywords for titles, tags, and video ideas.
• AI Title & Description Tools — Generates optimized titles, descriptions, and ideas based on your topic.
• Daily Video Ideas — AI scans your channel and recommends new content ideas every day.
• Competitor Tracking — Lets you watch competing channels and see what’s working for them.
• Channel Audit — Gives weekly suggestions on what to improve, what’s performing best, and what’s hurting your growth.
• Real-Time SEO Score — Shows how optimized your video is while you’re uploading it.
• Trend Alerts — Notifies you about trending topics in your niche.
• Video Performance Analytics — Breaks down views, retention, click-through rate (CTR), and more.
• Chrome Extension — Adds powerful analytics directly on YouTube while browsing.

So that’s it for VidIQ!

To Take Home

VidIQ is a powerful YouTube growth tool that helps you understand:

• What videos to make
• What keywords to target
• How competitors are growing
• And what’s actually working on your channel

The AI features give a strong boost to your creative workflow, and the analytics help guide your decisions.

If you’re serious about growing on YouTube, VidIQ is definitely worth trying — even starting with the free version.

Let me know if you want me to write a version optimized for SEO, formatted for Medium, or turned into a YouTube script!

The post I Tried VidIQ for YouTube. Here’s What I Found appeared first on codingem.com.

It’s called Screen Studio.

This tool zooms in on your recordings automatically.

You will also be able to position yourself as a small icon anywhere on the screen.

Lastly, it renders a beautiful background to each screen recording.

Everything is customizable, from keyboard sound effects to cursor size.

I recommend trying it out.

Try Screen Studio free.

The post Best Screen Recording Software for Mac (I Tried Them All) appeared first on codingem.com.

AI agents have become one of the most transformative technologies in modern business. Unlike standard AI chat tools, AI agents can act, not just respond. They plan steps, execute tasks, integrate with systems, automate workflows, write content, process data, handle customer interactions, and even coordinate multiple tasks autonomously.

The right AI agent can replace dozens of manual processes. The wrong one can create chaos, produce inaccurate outputs, or fail to integrate with your workflow.

This guide breaks down the 15 best AI agents available today, including what they do best, where they struggle, pricing notes, and who they fit.

1. OpenAI GPT-Powered Agents

OpenAI’s agent capabilities allow businesses and individuals to create highly capable autonomous assistants that perform complex tasks across writing, research, workflows, data, planning, and more.

This is one of the most flexible and powerful agent systems available, suitable for simple tasks or enterprise-grade automation.

Core Features

• Natural-language task execution
• Multi-step reasoning and planning
• Tool use, API calls, and workflow execution
• Strong writing, summarization, and creative generation
• Ability to manage complex tasks with minimal input
• Customizable behaviors for business processes

Pros

• Extremely flexible and powerful
• Great multi-domain reasoning
• Suitable for both personal and enterprise use
• Can replace many standalone tools

Cons

• Requires strong configuration for advanced autonomy
• Output quality depends on user prompts and governance
• May require technical setup for complex workflows

Pricing

Usage-based pricing depending on model and volume.

Takeaway

Choose OpenAI agents if you want the most capable, general-purpose AI agents that can handle nearly any knowledge or workflow task you throw at them.

2. Claude AI Agents

Claude agents excel at structured thinking, analysis, writing, summarization, and long-context tasks. They are exceptional for businesses needing precision, clarity, and safety.

Core Features

• Very strong reasoning and analysis
• Excellent writing and summarizing
• Handles long documents and complex queries
• High-level planning ability
• Good at multi-step workflows

Pros

• Highly accurate and reliable outputs
• Excellent for deep thinking and long text tasks
• Very safe and controllable
• Great for research-heavy tasks

Cons

• Somewhat conservative in tone and creativity
• Limited integrations depending on setup
• Autonomy requires additional configuration

Pricing

Tiered plans plus usage-based model depending on volume.

Takeaway

Choose Claude agents if your highest priority is precision, clarity, and error reduction. Ideal for research, analysis, planning, and long-form work.

3. Google Gemini Agents

Gemini agents are strong multimodal assistants capable of understanding text, images, structured data, and more. They excel in tasks combining research, logic, search, and visuals.

Core Features

• Text and image understanding
• Research, analysis, reasoning
• Can generate visual content and structured results
• Integrates well across Google ecosystem
• Strong contextual awareness

Pros

• Excellent multimodal performance
• Great at combining search-like capabilities with reasoning
• Natural integration with Google tools
• Strong logic capabilities

Cons

• May require Google ecosystem for full potential
• Some features still new and evolving
• Customization varies across tools

Pricing

Usage-based depending on model and tier.

Takeaway

Choose Gemini agents if you want a versatile multimodal agent that excels at visual plus textual tasks or you are already heavily using Google products.

4. Microsoft Copilot Studio

Copilot Studio lets businesses build custom AI agents that operate across Microsoft 365, Teams, Outlook, SharePoint, Power Automate, and enterprise systems.

Core Features

• Custom business process agents
• Deep Microsoft Office integration
• Automated workflows via Power Automate
• Customer support and operations bots
• Enterprise-level governance

Pros

• Great for organizations already using Microsoft 365
• Highly customizable business logic
• Built for enterprise needs
• Integrates with existing workflows seamlessly

Cons

• Complexity increases with advanced implementations
• Requires Microsoft ecosystem
• May require IT involvement

Pricing

Licensing-based with additional usage fees depending on agent volume.

Takeaway

Choose Copilot Studio if you want AI agents embedded inside your business tools, especially if your organization relies heavily on Microsoft infrastructure.

5. Zapier AI Agents

Zapier’s AI agents combine automation with intelligence, letting agents autonomously execute tasks across thousands of apps.

Core Features

• Multi-step workflow automation
• Natural-language automations
• Integration with thousands of apps
• Autonomous task execution
• Workflow monitoring and triggers

Pros

• Extremely strong integrations
• Great for automating repetitive business tasks
• No-code setup
• Works across entire tech stack

Cons

• Complex workflows may require human tuning
• Costs scale with task volume
• Sensitive workflows require careful oversight

Pricing

Subscription-based with task volume pricing.

Takeaway

Choose Zapier agents if you want to automate real workflows, not just drafts or content. Perfect for sales ops, support ops, HR, admin, marketing, and internal automation.

6. Notion AI Agents

Notion AI agents live inside Notion and help automate writing, knowledge management, documentation, project workflows, and database operations.

Core Features

• Document writing and editing
• Automated task and database updates
• Content summarization
• Knowledge-base maintenance
• Project workflow assistance

Pros

• Built directly into existing Notion workspaces
• Great for internal documentation
• Helps teams keep information organized
• Easy to use without setup

Cons

• Limited outside Notion
• Not designed for full automation across apps
• Complex workflows require manual intervention

Pricing

Available on Notion AI plans.

Takeaway

Choose Notion AI agents if your team already uses Notion for documentation, planning, or projects and you want intelligent in-app assistance.

7. ClickUp AI Agents

ClickUp’s AI agents focus on project management, task automation, and team productivity. They handle documentation, planning, reporting, and workflow generation.

Core Features

• Automated task generation
• AI project planning and briefs
• Status updates and progress analysis
• Document writing
• Workflow suggestions

Pros

• Very strong for project teams
• Reduces admin workload
• Works inside existing ClickUp dashboards
• Great for agencies, operations, and product teams

Cons

• Only useful if you already use ClickUp
• Limited external automation
• Complex projects may need manual oversight

Pricing

Available on ClickUp AI plans.

Takeaway

Choose ClickUp AI agents if your team works heavily in ClickUp and wants to eliminate admin work in planning, reporting, and documentation.

8. HubSpot AI Agents

HubSpot offers AI agents for sales, marketing, and support teams. They automate CRM tasks, write emails, score leads, and help manage customer interactions.

Core Features

• Automated CRM tasks
• Lead scoring
• Marketing email generation
• Sales messaging
• Customer support responses

Pros

• Great for sales and marketing alignment
• Saves time on repetitive CRM actions
• Works natively inside HubSpot
• Helpful for outbound sales and customer interactions

Cons

• Only valuable for HubSpot users
• Autonomy is limited to CRM functions
• Complex pipelines require manual control

Pricing

Included in various HubSpot tiers with AI add-ons.

Takeaway

Choose HubSpot AI agents if your business runs on HubSpot CRM and you want deeper sales, marketing, and service automation.

9. Intercom Fin AI Agent

Fin is a customer service agent that handles incoming support questions, resolves issues, and reduces ticket volumes.

Core Features

• Natural-language customer support
• Integration with support articles
• Automated ticket resolution
• Escalation handling
• Conversation learning

Pros

• Very strong for reducing support workload
• Learns from company documentation
• Fast and accurate responses
• Scales support without hiring

Cons

• Needs well-written help content
• Not ideal for highly complex issues
• May require tuning for tone consistency

Pricing

Support-based pricing based on usage.

Takeaway

Choose Fin if you want a reliable AI agent that reduces support tickets and improves customer response times without sacrificing quality.

10. Freshdesk Freddy AI

Freddy AI is a support automation agent that triages tickets, categorizes conversations, and assists support teams.

Core Features

• AI ticket triage
• Automated responses
• Conversation insights
• Customer support assistance
• Workflow routing

Pros

• Great for help desks
• Reduces agent workload
• Improves ticket accuracy
• Works well with Freshdesk ecosystem

Cons

• Only valuable for Freshdesk users
• Limited outside its ecosystem
• Needs solid data for training

Pricing

Add-on pricing for Freshdesk accounts.

Takeaway

Choose Freddy AI if you want a support assistant for help desk automation and your team uses Freshdesk.

11. Levity AI

Levity builds custom AI agents for classification, document processing, tagging, and internal workflow automation without code.

Core Features

• Document automation
• Email and content classification
• Custom workflow triggers
• Automated tagging/categorization
• No-code configuration

Pros

• Great for operational back-office tasks
• Easy to configure
• Replaces manual sorting and processing
• Ideal for SMEs and ops-heavy teams

Cons

• Works best for narrow use cases
• Less general-purpose
• Requires clear data to train models

Pricing

Subscription tiers based on automation volume.

Takeaway

Choose Levity if you want AI agents that handle repetitive internal tasks such as document processing, inbox sorting, and classification.

12. Taskade AI Agents

Taskade offers multi-agent collaboration systems that plan, research, brainstorm, and execute workflows inside a team workspace.

Core Features

• Multi-agent collaboration
• Research and ideation
• Document drafting
• Workflow planning
• Knowledge management

Pros

• Flexible multi-agent system
• Great for brainstorming and creative work
• Strong project planning support
• Simple setup

Cons

• Works best inside Taskade environment
• Limited external automations
• Requires guidance for complex tasks

Pricing

Subscription-based with AI upgrades.

Takeaway

Choose Taskade agents if you want multiple AI agents working together for ideation, planning, and creation.

13. AgentGPT / AutoGPT-Style Agents

These fully autonomous agents recursively plan and execute tasks with minimal user input. They are experimental but powerful for exploratory work.

Core Features

• Autonomous planning cycles
• Goal-driven execution
• Multi-step operations
• Research and ideation
• Experimentation workflows

Pros

• Very powerful for open-ended tasks
• Can run independently for long cycles
• Great for exploration and innovation

Cons

• Unpredictable results
• Requires strict guardrails
• Not suitable for sensitive workflows

Pricing

Varies depending on platform implementation.

Takeaway

Choose these if you want experimental, autonomous AI agents for research, creative exploration, or proof-of-concept workflows.

14. Relevance AI Agents

Relevance AI builds enterprise-grade agents that can access internal data, automate processes, and generate insights.

Core Features

• Data ingestion and analysis
• Workflow automation
• Enterprise knowledge search
• Business-specific agents
• Integrations with internal apps

Pros

• Very strong for enterprise operations
• Handles structured and unstructured data
• Useful for ops, analytics, and reporting
• Scales to large orgs

Cons

• Requires implementation support
• More expensive than SMB tools
• Best for mid-large companies

Pricing

Enterprise-oriented pricing based on usage.

Takeaway

Choose Relevance AI if you want sophisticated data-driven agents for operations, reporting, analytics, and internal automation.

15. Amelia AI Digital Employee

Amelia is an enterprise AI agent built to act as a digital employee for support, service, and back-office tasks.

Core Features

• Conversational customer support
• Workflow execution
• IT service automation
• Back-office operations
• Integration with enterprise systems

Pros

• Designed for enterprise-scale use
• Handles customer and internal tasks
• Automates complex workflows
• Highly configurable

Cons

• High implementation cost
• Requires enterprise IT involvement
• Overkill for small businesses

Pricing

Enterprise licensing.

Takeaway

Choose Amelia if you want a highly advanced AI digital employee capable of taking over large portions of customer service and internal operations.

Final Thoughts

AI agents are no longer experimental. They are becoming teammates, assistants, and automation engines that augment human capability.

If you want creativity and writing power: choose OpenAI or Claude agents.
If you want deep multimodal capabilities: choose Gemini.
If you want business workflow automation: choose Zapier agents.
If you want embedded workplace automation: choose Microsoft Copilot, ClickUp, or Notion AI.
If you want customer support automation: choose Intercom Fin or Freshdesk Freddy.
If you want enterprise-level digital workers: choose Amelia or Relevance AI.

The post 12 Best AI Agents for 2026 (Complete List) appeared first on codingem.com.

AI tools for business are software solutions that use artificial intelligence — machine learning, natural-language processing, automation, or generative AI — to help with common business needs: automating repetitive work, generating content, improving decision-making, enhancing marketing, managing projects, analyzing data, and boosting productivity.

The right AI tools can save time, reduce errors, make teams faster, handle routine tasks, and free up human focus for strategic work. The wrong ones can cause confusion, inefficiency, and tool bloat.

Here are some of the most useful AI tools for businesses in 2025.

1. General-Purpose AI Assistants / Productivity Companions

These are AI tools that help with writing, brainstorming, summarizing, managing content, drafting emails or reports, and general office productivity.

What they do well

They help draft text (emails, reports, proposals), summarize long documents or meetings, generate ideas, rephrase content, translate, and generally assist in knowledge work. They reduce time spent on repetitive writing tasks and help teams stay productive and focused.

Where they struggle

Quality varies — AI output may need human editing, context might be wrong, or content may require fact-checking. For specialized businesses or technical industries, blind use of AI drafting is risky.

Who should use them

Any business doing a lot of writing, content creation, proposals, marketing, or internal docs. Great for startups, agencies, marketing teams, consultants, and small companies with limited staff.

Takeaway

Use a good AI assistant when you want quick drafts, efficient document handling, content generation, or to speed up admin work without sacrificing human oversight.

2. Workflow Automation & Task Automation Tools (AI + RPA)

These tools automate repetitive tasks, integrate different services, and allow businesses to build workflows that reduce manual overhead.

What they do well

They connect multiple apps (email, spreadsheets, CRM, project tools), move data automatically, trigger actions, send notifications, create tickets or tasks, and essentially replace repetitive manual workflows. This saves time, reduces errors, and helps standardize processes. The Digital Project Manager+2whalesync.com+2

Where they struggle

Initial setup can be a bit technical. For very complex or highly customized workflows, the automation may break or require regular tuning. Over-automation can also add complexity if not managed carefully.

Who should use them

Companies that handle a lot of repeatable processes — operations, sales, HR, finance, customer support, data entry. Useful for startups through large organizations.

Takeaway

Adopt AI workflow automation when you see recurring manual tasks or hand-offs. It’s often the fastest way to reduce workload and free up human time for higher-value activities.

3. Content Creation & Marketing AI Tools

For businesses needing marketing content, social media posts, SEO-ready articles, ad copy, or multimedia content — AI content tools can dramatically speed up output.

What they do well

They help generate blog posts, social media updates, ad copy, marketing emails, content outlines, and sometimes marketing strategy suggestions. They allow rapid content scaling without large content teams.

Where they struggle

Generated content can be generic, sometimes inaccurate, or not aligned perfectly with brand voice. SEO and compliance still need human check. Overuse of AI content may result in cookie-cutter feel.

Who should use them

Marketing teams, content creators, agencies, e-commerce businesses, freelance marketers — anyone who needs to produce content regularly and fast.

Takeaway

Use content-generation AI to speed up output and reduce writing workload — but treat the results as a first draft, not a final product. Always review and polish manually.

4. Analytics, Insights & Decision-Support AI Tools

These are AI tools that help businesses analyze data, forecast trends, spot anomalies, generate insights, or support decisions based on data.

What they do well

They parse large datasets, generate reports, highlight patterns or opportunities, and give predictions or recommendations. AI helps reduce analysis time and surfaces insights humans might miss.

Where they struggle

Quality of output depends heavily on input data quality. Garbage in = garbage out. For complex or sensitive decisions, AI suggestions still need human judgment.

Who should use them

Companies handling data — finance, sales, marketing analytics, operations — any business with enough data to justify analytics.

Takeaway

Leverage analytics-oriented AI when you need data-driven decision support or want to automate reporting. But keep humans in the loop to verify context, conclusions, and strategic fit.

5. Customer Support & Communication Automation (Chatbots, Virtual Agents, CRM-AI)

AI tools in this category help manage customer interactions, automate support tickets, chatbots, help desk automation, and respond to customer queries — often 24/7.

What they do well

They speed up responses to common questions, route tickets, provide first-line support, reduce support workload, and improve customer experience with quicker answers and consistent standard reply quality.

Where they struggle

Complex, nuanced customer issues still require humans. AI chatbots can misunderstand tone or context, and may frustrate customers if overused or mis-configured.

Who should use them

E-commerce, SaaS, service providers, any business with recurring customer support load or high volume of repetitive inquiries.

Takeaway

Integrate AI-powered support tools when you need scalability in support or want to reduce manual workload — but always ensure easy human escalation paths for complex issues.

6. Combined / All-Round AI Platforms (Productivity + Automation + Support + Data)

Some modern AI platforms try to combine multiple capabilities — automation, analytics, content, support, and collaboration — into one integrated system. These often give the biggest value when a business needs multiple AI-powered functions at once.

What they do well

They let you manage workflows, content, communication, analytics, and automation under one roof — reducing tool sprawl, easing integration pain, and centralizing data and processes.

Where they struggle

Because they try to do many things, they may be less specialized than dedicated tools. Setup and costs can be higher, and sometimes not all features are polished equally.

Who should use them

Mid-sized to large businesses, or rapidly growing companies, especially those needing cross-department coordination — marketing, sales, operations, data, support in one system.

Takeaway

Consider a full-suite AI platform if you need multiple business functions covered and want a unified, integrated toolset rather than many scattered apps.

What to Check When Evaluating AI Tools for Business

• Does the tool solve a real business problem or is it just “nice to have”?
• How reliable is the output? Do you still need human oversight or editing?
• Can the tool integrate with your existing stack (CRM, data, operations)?
• What is the total cost (subscription, onboarding, maintenance)?
• What are the data-privacy, compliance, and security implications?
• How scalable is the solution — will it still fit if you grow 2×, 5×, or 10×?

Final Thoughts

AI tools are no longer futuristic extras — they are now practical, powerful, and widely available for most businesses. From automating workflows to generating content, improving productivity, supporting customers, or analyzing data — there’s an AI solution for nearly every function.

But the real benefit comes when you pick tools that match your company’s needs instead of chasing every new “AI hype.” Focus on solving concrete problems: time-consuming workflows, content bottlenecks, customer support load, data overload, or manual tasks.

A well-chosen AI tool can multiply efficiency and output. A poorly chosen one just adds noise.

The post Best AI Tools for Business (2026) appeared first on codingem.com.

They can reveal hosting, content management systems, analytics tools, frameworks and many other details.

They are useful for developers, marketers, researchers and anyone who wants to learn how a site is built or how competitors operate.

Below are the top tools, starting with IntelBee as requested.

Each section includes a clear introduction, key features, pros, cons and pricing.

Disclaimer: This post has affiliate links at no cost to you.

1. IntelBee

IntelBee focuses on showing a complete picture of the technology behind any website.

It is designed to be simple to use while still offering deep insights.

It works well for both quick checks and detailed research.

It also includes business oriented features like lead discovery and alerts for technology changes.

Key features

• Full technology detection including CMS, hosting, analytics, security and frameworks
• Lead discovery based on the technologies websites use
• Alerts when a website changes its technology
• Fast results with a clean interface
• Good coverage of websites of all sizes

Pros

• Easy to read results
• Covers many types of technologies
• Helpful for both technical and business research
• Strong for lead generation

Cons

• If you only need simple checks some features may feel more advanced than necessary
• Detection depth for very rare custom setups may vary

Price

• Free access available
• Paid plans may apply for larger usage or heavier research needs

2. BuiltWith

BuiltWith is one of the oldest and most recognized website technology checkers.

It focuses on broad detection and large scale data.

It is often used by agencies, researchers and companies that need market insights or large lists of sites using certain tools.

Key features

• Large database of technologies
• Bulk lookups for many websites
• Market reports and trend analysis
• Browser extension for fast checks

Pros

• Very detailed reports
• Good for large scale research
• Useful for building prospect lists
• Strong data export options

Cons

• Reports can be long and sometimes overwhelming
• May show older technologies that are no longer active
• Interface can feel dated compared with newer tools

Price

• Paid plans starting in the higher range
• Best suited for teams and businesses rather than casual users

3. Wappalyzer

Wappalyzer is popular because it is simple, fast and available as a browser extension.

It focuses on clear categories and easy identification of website technologies.

It works well for everyday use and also offers tools for business research.

Key features

• Browser extensions for instant detection
• Identifies CMS, frameworks, ecommerce systems and more
• Monitoring alerts for technology changes
• API and data exports for teams

Pros

• Quick results with very little setup
• Free plan available
• Clear categories and tidy display
• Good for marketing and sales research when paired with its optional features

Cons

• Free plan has usage limits
• May not detect deep server side technologies
• Some results can be general instead of highly detailed

Price

• Free plan for occasional use
• Paid plans for higher volume and advanced features

4. WhatRuns

WhatRuns focuses on simplicity and speed through a lightweight browser extension.

It is aimed at users who want quick insights rather than long reports.

It is ideal for learning which themes, plugins and tracking tools a site uses.

Key features

• Instant technology detection in the browser
• Shows themes, plugins, fonts, analytics tools and more
• Allows you to follow websites and receive alerts when they change tools

Pros

• Very fast and simple
• Great for people who want quick answers
• Free to use
• Helpful alerts for tracking tool changes on chosen sites

Cons

• Not ideal for deep backend research
• Limited coverage of server side technologies
• Not designed for bulk research or data export

Price

• Completely free

5. Netcraft Site Report

Netcraft focuses on infrastructure details rather than user facing tools.

It is useful for learning about servers, security and hosting setups.

It is often used by researchers, security analysts and people who want deeper technical background information.

Key features

• Hosting and server information
• SSL and security details
• Domain and network data
• Historical records for some infrastructure elements

Pros

• Very strong on security and server insights
• Good for verifying how a site is hosted
• Useful for technical research beyond CMS and plugins

Cons

• Not focused on CMS, plugins or marketing tools
• Less beginner friendly
• Reports can feel more technical than other tools

Price

• Some features are free
• Advanced services require a paid plan or custom arrangement

Website Technology Checker Comparison Table

The post 6 Best Website Technology Checkers appeared first on codingem.com.

• It helps developers learn.
• It helps businesses compare competitors.
• It helps marketers analyze performance options. And it helps anyone curious about how the modern web works.

Today, many tools claim to reveal a site’s tech stack.

But they are not all equal.

Some are slow.

Some miss important details.

Some overwhelm users with complex reports.

Below is a simple guide to this task and why one tool stands out.

My favorite technology finder tool is Intelbee.

Just enter the target site name and it will find the tech stack behind that site.

Try Intelbee Now

Why You Should Check a Website’s Technology

Every website uses a mix of platforms, frameworks, and services.

These choices affect how fast it loads, how secure it is, and how easy it is to maintain. By checking a site’s tools, you can:

• Understand what CMS or framework it uses.
• Learn which analytics systems are installed.
• Discover ad networks or sales tools.
• See hosting and server details.
• Study trends in modern development.

The right tool should be fast, clear, and accurate.

IntelBee: The Number One Tool for Website Technology Lookup

IntelBee.com is the leading solution for finding technology behind any website.

It focuses on speed, simplicity, and reliable results.

Many users choose it because it delivers a clean report without confusion.

Key strengths

Fast scanning. IntelBee checks a site in seconds.
Accurate detection. It reveals CMS platforms, frameworks, libraries, tracking codes, and more.
Easy interface. Anyone can use it. No technical knowledge required.
Actionable insights. It shows clear categories so you understand each part of the tech stack.
Works for any website. Large or small, old or new.

IntelBee reduces the time needed to analyze a site. It gives a full picture in a simple format. This makes it the best option for developers, marketers, founders, and researchers.

Other Ways People Try to Analyze Websites

Some users look at a site’s source code manually. Others inspect network requests or server headers. While possible, these methods are slow and incomplete. Automated tools resolve this problem.

Still, many tools on the market give partial results or cluttered dashboards. This is why IntelBee remains the preferred choice. It keeps the process clear and complete.

How to Use a Technology Lookup Tool

1. Enter the website URL.
2. Run the scan.
3. Review the breakdown of technologies.
4. Use the insights for learning, planning, or competitive research.

IntelBee follows this exact flow. The experience is smooth and direct.

Final Thoughts

Knowing the tools behind a website is essential in today’s digital world. It helps you understand trends, make smart decisions, and improve your own projects.

When comparing solutions, IntelBee.com leads the field. It is simple, fast, and complete. If you want to find the technology behind any website, start with IntelBee.

The post How to Find the Technology Behind Any Website (Step by Step) appeared first on codingem.com.

The videos, the song, the lyrics, everything is AI.

This took me about 30 minutes to make.

In this post, I will show you exactly how to create your own music video with AI.

If you prefer a video tutorial, I just made one.

Let’s go!

Disclaimer: This post has affiliate links at no cost to you.

Step 1: Creating a Song

As the first step, we need a song.

If you have one already, that’s good.

But if you don’t, in this step, I will show you how to create one.

First, head over to Elevenlabs and sign up. This is the best AI music generator (with vocals) that I’ve tested.

Then choose Music from the options on the left.

After this, you will see a view similar to ChatGPT, but this one is for creating music.

Here’s my prompt that I used to create a song:

Create an upbeat, inspiring pop song about turning imagination into reality — the feeling of starting something new and bringing your ideas to life.

Style: Modern pop with light electronic and lo-fi elements, warm synths, and a steady beat (around 100–110 BPM).

Mood: Positive, creative, motivational, and hopeful.

Vocals: Male or female pop voice with a friendly, confident tone.

Lyrics theme:

Beginning a new creative journey

Believing in yourself

The joy of seeing ideas come alive

Example lyrical ideas:

“It starts with a spark in my mind”

“Let’s make it real, together we shine”

“Every dream begins with one small try”

Structure:
Verse → Pre-Chorus → Chorus → Verse → Bridge → Final Chorus

Feel free to come up with your own, copy the one from me, or use ChatGPT to create your prompt.

Then hit “Generate”. This starts to create the song.

You can play the song while it’s creating! This is because the AI is putting it together in parts. You can play the first parts while the rest are still being created.

Notice how it also creates you the vocals for the song.

If you’re not happy with the song, you can either re-create it from scratch, or you can edit it by parts.

For example, you can choose any section of your song, and ask the AI to include/remove styles from it.

Here I’m tweaking the vocal track:

You can edit your lyrics on the spot too.

Then the AI just renders the song again with the new lyrics.

You can also include/exclude styles from your entire track instead of just touching it one part at a time.

Whenever you change something, hit Generate to create a new version of the track with your edits in place.

Oh, and don’t forget that you can also expand any section of the song too.

Once you’ve made your track and it’s ready for a video, download it.

Step 2: Creating the Character

Then, let’s create our artist for the music video.

The best place to do this called OpenArt.

This place hosts all the best AI image/video generator models. You’ll need it in all the rest of the steps of this tutorial

Once you’ve signed up, choose “Image” on the left.

Then pick the “Seedream 4.0” AI image generator model from the list.

Then describe the AI what kind of a character you want to create.

Here’s my prompt:

A young American female singer performing in a softly glowing, futuristic studio bathed in pastel lights. She stands at a sleek microphone surrounded by warm synth tones visualized as gentle waves of color in the air. The mood is uplifting, dreamy, and modern — a blend of pop and light electronic aesthetics. Her outfit is stylish but understated — soft fabrics, subtle metallic accents, and warm tones (peach, gold, lavender). The lighting is cinematic and warm, evoking sunrise energy. Background elements include abstract shapes or light trails suggesting creativity and imagination coming to life. The overall vibe is bright, inspiring, and emotionally open — no darkness, no heavy rock or metal influence, no acoustic-only setting. Render in modern pop / lo-fi electronic style, with smooth gradients, gentle bokeh, and a clean, futuristic atmosphere.

I recommend creating at least 2–4 images, not just one.

That’s because some of the results might not be what you were looking for.

I think this is the best image out of the bunch, so I will choose her as the character.

Step 3: Scene Images

Now that we have our artist, it’s time to put her into different scenes for the video.

• In some scenes, she is singing the song.
• In some scenes, she’s just doing actions silently.

To create the scenes so that the character remains consistent, write your prompt…

And drag and drop the character main image to the image generator.

This way it’s able to keep a consistent look across the scenes with minimal changes.

Remember to change the aspect ratio of your images too. It’s 1:1 by default, so you’ll get squares, which is not ideal in most music videos. Instead, you can choose 16:9 for wide-screen videos.

That being said, here’s the prompt for the first scene:

The singer is sitting in the misty forest during the sunrise and is looking down eyes closed
Style: vibrant yet warm, cinematic lensing

Here’s the result:

That’s amazing, isn’t it?

Here’s another scene prompt:

A young female singer in a dim, softly glowing creative space at dusk. She sits by a keyboard and sketchbook, gentle light from a window outlining her silhouette. Soft pastel reflections hint at imagination awakening. A few glowing music notes or soundwave lines float in the air, subtle and dreamy.
 Style: cinematic, warm synth tones, early-evening glow, intimate and inspirational.

Here are the results for that:

And so on.

You can create as many scenes and prompts as you like.

Step 4: Lip-Sync

Once you have your scenes, it’s time to do the lip sync.

To this, I recommend using OpenArt again.

There are a couple of AI lip-syncing tools out there that make your character sing the song you created.

However, notice that at this stage, the AI tools mostly accept only 10–30 seconds of audio.

So you need to split the song into parts before the lip-sync.

You can use a free tool like AudioTrimmer.com to do this.

To split the song, choose the start and end in the editor and hit “Crop”.

Then download your file.

Just do this as many times as you need for your song.

Also, remember that you don’t need to create lip-sync for everything.

It’s fine if the artist is not singing in every part of the video.

To do a lip-sync, head over to OpenArt.

Choose the “Video” on the left and pick “Lip-Sync Video”.

Then choose “Creatify Aurora” from the models.

Then drop your audio clip and character image to the view.

Hit create.

After a couple of minutes, you’ll see your first result.

Here’s what the first 12 seconds look like:

Isn’t that amazing? Looks exactly like she was singing there.

Step 5: Effects & Non-Vocal Scenes

Now you can also create those scenes for your music video where your artist is not singing the song.

To do this, once again, feel free to use OpenArt.

First, you need to create images for your scenes.

To do this consistently:

1. Give it a prompt.
2. Drop an image of your character for the AI.

Then pick one of the images.

For example, I like this image a lot:

Then go to the “Video”, choose “Image to Video”.

Choose one of the AI video generator models, drop your image to the view, give it a prompt, and hit create.

Here’s what one of the clips looks like:

That’s amazing, huh?

Now, all you need to do is repeat the step 4 and step 5 until you have scenes for all parts of your music video.

Step 6: Edit Them Together

Now that you have your song and scenes, it’s time to put those together.

This is possible with any basic video editor tool.

I recommend doing the following:

1. First drop the song to the timeline.
2. Then drop the lip-synced videos.
3. Make sure the lip-synced videos match the song.
4. Then drop in those non-vocal scenes, etc. into places you think they fit.
5. Enjoy it!

Here’s my video:

Can you imagine that that is entirely made by AI, in just 30 minutes or so.

This is crazy.

About the Expenses

Right now, if you make AI music videos, you’re definitely one of the first people in the planet to have one.

But as I showed in this guide, it’s going to take some effort and also cost quite a bit.

Based on my credit usage, I would say that creating this 55-second video cost me roughly $50.

So if you do a full 3–4 minute video, expect to spend hundreds of dollars on it!

Another option is to wait for a year or two for these tools to be $9/month with unlimited creations.

But at that time, the AI music space is also completely saturated.

Thanks for reading. I hope you enjoyed it!

The post 6 Steps to Make AI Music Video (Beginner’s Guide) appeared first on codingem.com.

In this post, I will show you the best AI music video generator that I tested.

That’s called Revid AI.

However, the results just aren’t good.

If you want to make a music video, you have to do it with this 20-minute tutorial.

The technology isn’t good enough yet to turn text into music videos.

But now, let me show you the poor results I got.

Disclaimer: This post has affiliate links at no cost to you.

Step-by-Step Guide

First, head over to this page called Revid AI:

Then drop your song to the view. You can also create the song later if you don’t have a track to begin with!

Pick the video format.

I’m planning to make a music video for YouTube, so I’ll do the 16:9 model.

Then, it started to get a bit suspicious.

The AI asks you to pick between AI Video, Moving AI Images, Stock Videos, and Your Own Media.

When I saw this, I was pretty confident that this was just another “AI music generator” that does not create AI music videos…

However, I decided to continue creating with it.

At the next step, you need to choose a generation for your song. On top of that, you should give instructions to the AI on what to do in the music video.

Here are my inputs:

Then, it started to get super annoying.

As I hit “Generate”, the AI started to ask me questions completely irrelevant to my videos.

It was clear to me that I had stumbled across a platform of AI tools, where the so-called AI music generator is just one of the many… I wasn’t too happy about potentially wasting my time.

After answering these mandatory questions, I noticed that the AI is creating my music video. Finally! I was sure I lost all the work at this point already, as I mostly do with tools like this.

That was a sign of hope.

I thought this was just a funnel towards having to buy some credits to see a preview of a random stock-footage-flooded video that has nothing to do with AI music videos…

After waiting for a while, the AI music video was ready. It opened up an editor that looks like this:

Here you can change colors, delete slides, move slides around, and so on.

But wait a minute… This was supposed to be a music video.

Let’s look at the result:

Umm, that’s not quite what I wanted.

Also, I don’t like the fact that you need to pay $39 to export it.

It’s essentially a slideshow with an audio visualizer.

• Nothing to do with AI.
• Nothing to do with a music video.

It has lyrics placed in the song, which is cool. But even those are messed up bad and you’d have to spend a good while editing those to match them with the song.

And yes, this one was the best one that I found.

I guess we’re still far from having a single easy-to-use tool that can make AI music videos.

Even though many AI music videos exist, this tool (or any of those that I tried) can’t create them yet.

Making one still takes multiple steps, several different AI tools for images, video, music, and lip-syncing, plus good prompts — and a lot of money.

Thanks for reading, and sorry to disappoint you!

The post I Tried 23 AI Music Video Generators. This One Is The Best… appeared first on codingem.com.

I’ve tested all the AI music generators on the market, and I just found a tool that’s better than any of them.

That’s called ElevenLabs.

Here’s a song I just made with it:

Elevenlabs even lets you clone your own voice with its voice replicator.

Because of that, I don’t need to pay for music libraries like Epidemic Sound or Artlist anymore.

Now you can do everything in one place without switching between tools.

So, I decided to give it a try and see how well it works.

Try ElevenLabs

Disclaimer: This post has affiliate links at no cost to you.

Getting Started

To start using this epic AI music generator, sign up for ElevenLabs here.

After signing in, go to the Music section.

Write a short description of your song, choose how many versions you want, and set the length.

For my first test, I used this prompt:

“Create an original lo-fi chillhop song with a nostalgic, relaxed vibe. Use warm electric piano, soft drums, mellow bass, and subtle vinyl crackle at around 85 BPM. The track should feel cozy and introspective, like late-night study or reflection music.

Include gentle, dreamy vocals (male or female) with a slightly hazy, vintage tone. The lyrics should be simple and poetic, expressing themes of solitude, peace, and late-night thoughts — something that feels like journaling while it rains outside.

Example lyrical themes: letting go of stress, remembering good times, or finding calm in small moments. Keep the lyrics minimal and loopable — suitable for chill playlists or background listening.”

For this one, I set the length to 2 minutes. But you can also use the Auto option if you want.

When you’re ready, just click Create.

You can watch it build the song in real time — verse, chorus, bridge, everything.

It builds the song in parts, so you can start listening even before it’s done.

The first version already sounded great.

You can listen to it here:

It’s warm, mellow, and has the exact chill vibe I wanted. I love it!

Editing Your Songs

With Elevenlabs, you can edit almost any part of your song.

For example, you can adjust the intro style like this:

Then you can add or remove elements as you like.

Pretty handy, right?

You can do the same with your verses, too.

Speaking of verses, if there’s a lyric you don’t like, just click it, change the words, and hit Generate again.

The AI will update the song with your new line.

You can also change how long each part lasts or tweak the mood.

If you want a faster vibe, just add “fast-paced” to your prompt and generate again.

You can also add new sections to your track.

ElevenLabs will rebuild that section while leaving the rest of the song untouched.

Each time you regenerate, the vocal tone might change a bit, which keeps it feeling fresh.

Adjusting Sections

You can make any part longer or shorter by dragging the section bar.

When you regenerate, ElevenLabs automatically adjusts the music to match the new length.

It also labels each version, so it’s easy to keep track of your changes.

To replace a full section, just delete the old lyrics, write your new ones, and hit regenerate.

If you already have a full set of lyrics, paste them straight into your prompt.

ElevenLabs will then use your lyrics to build the melody and music around them.

Creating Custom Music for Videos

If you make YouTube videos, you can use ElevenLabs to create your own intro tracks.

Here’s a sample prompt I used for that:

“A looping house or techno-inspired track for a YouTube tutorial channel. Start with a deep pulse and kick. Add a warm bass with a steady groove at 120 BPM. No vocals. Mood: sleek, futuristic, mysterious, and energizing.”

Here’s what the result sounds like:

The result sounded perfect for a YouTube intro or outro.

You can also make background music with a simple prompt like this:

“Create background music without vocals for a YouTuber who makes tutorial-style videos.”

Here’s how that one sounds:

Pretty awesome, right? That would fit perfectly in a tutorial video.

Once it’s generated, you can tweak it however you like.

For example:

• Remove the words “upbeat” or “motivational.”
• Replace them with “house,” “mysterious,” or “uplifting.”

Now let’s hit Generate again.

Here’s the new version of the previous track with those keywords updated:

You can hear that it still sounds similar, but the changes added some new elements.

In ElevenLabs, every tweak gives the track a slightly different vibe while still keeping your original idea.

Try ElevenLabs

Note the Limitations!

You can’t just make any song, since the tool checks to make sure you’re not copying someone’s work.

For this test, I tried creating a song like this:

Create an original minimal techno track inspired by Deadmau5’s signature production style.

The track should have a clean, hypnotic groove built around a deep kick, tight percussion, and evolving bassline. Use lush synth pads, filtered plucks, and a slowly modulating arpeggio to create atmosphere. Focus on space and tension — minimal layers, but rich textures.

Build energy gradually with subtle automation and sound design — long filter sweeps, reverb tails, and evolving rhythmic patterns. No vocals. Keep the mix spacious and crisp with strong low-end presence and wide stereo ambience.

See the problem here?

When I tried to make this song, it gave me an error — just like we expected.

I’m pretty sure that happened because I tried to make a song that sounded like it was made by Deadmau5.

That breaks the rules, so I needed to change the prompt.

I asked ChatGPT to rewrite it so it wouldn’t violate any policies. Here’s what it gave me:

Create an original minimal progressive techno track with a clean, hypnotic groove and a slowly evolving arrangement.

Use a deep, punchy kick drum, tight percussive elements, and a warm, evolving bassline that drives the track forward. Add atmospheric pads, subtle arpeggios, and evolving synth textures that build tension over time without cluttering the mix.

Focus on space, texture, and gradual progression — keep the elements minimal but polished. Introduce movement through filter automation, reverb modulation, and layered rhythmic variations.

The overall mood should be futuristic, spacious, and introspective — suitable for a late-night club set or immersive headphone listening.

Key: A minor (or another moody key).
 Tempo: 124 BPM.
 Length: around 5–6 minutes with a slow, progressive build and smooth outro.

Aim for a refined, cinematic sound design that feels immersive and emotionally resonant, balancing minimalism with depth.”

This one worked!

Here’s how the song sounds, by the way:

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Pretty cool, right? That’s almost exactly the style I was aiming for.

Pricing

Here’s a quick look at ElevenLabs pricing:

• Free — 10k credits per month, $0. Lets you test advanced AI audio like TTS, music, dubbing, and API.
• Starter — 30k credits per month, $5. Adds commercial rights, instant voice cloning, and Studio projects.
• Creator — 100k credits per month, $22 ($11 for the first month). Includes pro voice cloning and 192 kbps audio quality.
• Pro — 500k credits per month, $99. Gives you higher-quality output and API PCM audio.
• Scale — 2M credits per month with 3 seats, $330. Comes with a multi-seat workspace.
• Business — 11M credits per month with 5 seats, $1,320. Adds low-latency TTS and 3 pro voice clones.
• Enterprise — Custom credits and pricing. You get full control, SSO, SLAs, and managed dubbing.

From my testing, a 4-minute song uses about 5,000 credits.
 So with the $22 plan, you can make around 80 minutes of music each month.

To Take Home

ElevenLabs is wild.

You can make music for pretty much anything — intros, ads, tutorials, or full commercials.

Just tell it the kind of vibe you want, and it makes the track for you.

When you use the music generator together with ElevenLabs’ voice tools, it turns into a full studio.

You can write your script, record your cloned voice, and create the music — all in the same place.

The music generator is fast, simple, and super powerful.

I highly recommend giving it a try.

Try ElevenLabs

The post New AI Music Generator Beats Suno AI? Elevenlabs Music appeared first on codingem.com.