This project is a PDF CV Data Extractor that processes PDF files containing CVs, extracts relevant data, and compiles the extracted data into a JSON file (compileCV.json). The project uses a document processor to handle the extraction and includes a delay between processing each file to avoid hitting rate limits.
I am using package from
@racsodev/cv-pdf-to-json.
- TypeScript (v4 or higher)
- Node.js (v14 or higher)
- npm (v6 or higher)
- ts-node (v10 or higher)
- ApiKey from Anthropic to use Claude LLM
-
Clone the repository:
git clone https://github.com/ayusudi/cv-data-extractor.git cd cv-data-extractor -
Install the dependencies:
npm install
-
Create .env file. Here is the template :
ANTHROPIC_API_KEY= -
Ensure you have a data directory in the root of the project containing the PDF files to be processed. Take a look on this project structure :
Expand this to see project structure
- Run the script:
npx ts-node index.ts
- If it works perfectly, it will generate a result folder, outputs, and a compileCV.json file.
The script processes each PDF file in the data directory, extracts the CV data, and compiles the results into a JSON file named compileCV.json. The script includes a 60-second delay between processing each file to avoid hitting rate limits.
The compileCV.json file will contain an array of objects, each representing the extracted data from a CV. Here is an example of the structure:
[
{
"lastName": "string",
"firstName": "string",
"address": "string",
"email": "string",
"phone": "string",
"linkedin": "string",
"github": "string",
"personalWebsite": "string",
"professionalSummary": "string",
"jobTitle": "string",
"school": "string",
"schoolLowerCase": "string",
"promotionYear": "number",
"professionalExperiences": [
{
"companyName": "string",
"title": "string",
"location": "string",
"type": "string",
"startDate": "number",
"endDate": "number",
"ongoing": "boolean",
"description": "string",
"associatedSkills": ["string"],
"duration": "number"
},
...
],
"otherExperiences": [],
"educations": [
{
"degree": "string",
"institution": "string",
"location": "string",
"startDate": "number",
"endDate": "number",
"ongoing": "boolean",
"description": "string",
"associatedSkills": ["string"],
"duration": "number"
},
....
],
"hardSkills": ["string"],
"softSkills": ["string"],
"languages": ["string"],
"publications": ["string"],
"distinctions": ["string"],
"hobbies": ["string"],
"references": ["string"],
"certifications": [
{
"title": "string",
"issuer": "string",
"issuedDate": "number or null"
},
...
]
},
...
]