AI Resume Parser API
Convert any resume format into structured, actionable data with 95%+ accuracy. Support for PDFs, DOCs, images, and 100+ languages.
The Problem
- Legacy resume parsers charge 10x more
- Can't handle modern resume formats
- No customization options
- Require complex integration
Our Solution
- 95%+ accuracy on all resume formats
- Parse in 100+ languages
- Custom field extraction available
- Simple RESTful API integration
Key Features
95%+ Field Accuracy
Industry-leading accuracy on contact info, work history, education, skills extraction. Handles creative layouts, tables, and multi-column formats.
100+ Language Support
Parse resumes in English, Spanish, French, German, Chinese, Japanese, Arabic, Hindi, and 90+ other languages with native-quality extraction.
All Formats Supported
PDF, DOCX, DOC, RTF, TXT, and even images (JPG, PNG). OCR built-in for scanned documents and photos of resumes.
Fast Processing
Parse times under 5 seconds. Built for high-volume applications processing thousands of resumes per hour.
Structured JSON Output
Clean, normalized JSON with contact details, work experience, education, skills, certifications, and custom fields. Ready for your database.
Skills Taxonomy
Automatic skill normalization and categorization. Map "JS" to "JavaScript", group skills by category (programming, soft skills, tools).
What Our Customers Say
"RecruitAI's Resume Parser reduced our manual screening time by 85%. The accuracy is phenomenal even with creative resume formats."
"We switched from Textkernel and saved $15K annually while getting better accuracy. The custom field extraction was a game-changer."
Technical Specifications
- Input Formats
- PDF / DOCX / DOC / RTF / TXT / JPG / PNG
- Output Format
- JSON
- Max File Size
- 10 MB
- Avg Response Time
- Under 5 seconds
- Uptime
- 99.9%
- Rate Limit
- 1000 requests/minute
- Authentication
- API Key
Common Use Cases
- ATS resume ingestion
- Job board applications
- Staffing agency workflows
- Talent pool building
- Background check preparation
Frequently Asked Questions
What file formats does the Resume Parser API support?
Our API supports PDF, DOCX, DOC, RTF, TXT, and image files (JPG, PNG). For images and scanned PDFs, we use advanced OCR to extract text before parsing.
How accurate is the resume parsing?
We achieve 95%+ accuracy on standard fields like contact info, work history, and education. For skills extraction, accuracy varies by resume quality but typically exceeds 90%.
Can it parse resumes in languages other than English?
Yes, we support 100+ languages including Spanish, French, German, Chinese, Japanese, Korean, Arabic, Hindi, Portuguese, and many more. Each language has been specifically trained for local resume formats and conventions.
How does pricing compare to Daxtra or Textkernel?
Our pricing starts at $0.03 per parse with competitive volume discounts. For high-volume users, we offer self-hosted deployment from $100/month for unlimited parsing on your own infrastructure.
Is there a free trial or sandbox?
Yes, we offer a free sandbox with 100 parses to test our API. Contact us for a demo and sandbox access.
How long does integration typically take?
Most teams integrate the Resume Parser API into staging in 2-3 days. The API is RESTful and well-documented - you POST a resume file and get back structured JSON. Production deployment typically takes 1-2 weeks depending on UI work and your ATS schema mapping.
How does the Resume Parser handle PII and data security?
All resume data is processed over encrypted HTTPS/TLS channels. You can choose between our managed cloud (with encryption at rest) or self-hosted deployment in your own AWS, GCP, or Azure environment for complete data control. We never train global models on your customer data.
Can we self-host the Resume Parser in our cloud?
Yes. You can use our managed cloud API or deploy the Resume Parser into your own cloud environment. Self-hosted mode gives you full data control and eliminates per-parse billing - you pay a fixed platform fee instead.
What kind of volume can the Resume Parser handle?
The API is designed for high-volume parsing with typical response times under 5 seconds per resume. In self-hosted deployments, you can scale horizontally to handle as much traffic as your infrastructure supports. Many customers process thousands of resumes per hour.
Does the Resume Parser replace our ATS?
No, the Resume Parser is infrastructure that sits underneath your ATS as an API layer. You keep your existing UI and workflows - we just handle the parsing and data extraction. Think of it as upgrading your ATS's parsing engine without changing your product.
Ready to try Resume Parser?
Get started with a free demo and sandbox access. See results in minutes.