Resume OCR API
Parse resumes and CVs in any layout into structured work history, education and skills.
Sonuç
Markdown veya JSON çıktınız burada görünür.
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.ai/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"
}'