Resume OCR API
Parse resumes and CVs in any layout into structured work history, education and skills.
Result
Your Markdown or JSON shows up here.
What makes resumes hard to read
- Two-column and designed layouts
- Reading order across sidebars
- Dates written in many formats
What you can pull out
resume fields
{
"name": "Jane Citizen",
"email": "jane@example.com",
"experience[]": "company, title, start, end, summary",
"education[]": "school, degree, year",
"skills[]": "Python, SQL, Figma"
}Best models for resumes
1Gemini FlashGeneral vision model with strong handwriting and layout understanding at a low price.
google/gemini-flash3 credits / page2LlamaParseDocument parser built for RAG pipelines, with several quality tiers.llamaindex/llamaparse5 credits / page3Mistral OCRFast document OCR that returns clean Markdown with tables and embedded images.mistral/mistral-ocr6 credits / pageCall it from your code
curl https://api.ocrrouter.com/v1/ocr \
-H "Authorization: Bearer $OCRROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-flash",
"file_url": "https://example.com/invoice.pdf",
"format": "json"
}'