OCR API Benchmark 2026 — Speed, Accuracy, and Cost Compared
We benchmarked the top document extraction APIs on a standard set of test documents — invoices, receipts, forms, and multi-page reports — to measure real-world performance across three dimensions: speed, accuracy, and cost.
Speed (Single Page, Typed Invoice)
| API | Avg Response Time | Cold Start |
|---|---|---|
| ParseFlow | 450 ms | — |
| Mistral OCR 4 | 800 ms | — |
| Google Document AI | 1.2 s | 3–5 seconds |
| AWS Textract | 2.5 s | 5–10 seconds |
| Azure Doc Intelligence | 1.5 s | 3–5 seconds |
Note: Hyperscaler cold starts include Lambda/GCP function initialization. ParseFlow and Mistral are direct API calls — no infrastructure overhead.
Cost per 1,000 Pages (Forms + Tables)
ParseFlow: $8.00
Mistral OCR 4 (batch): ~$2.00 (parser only, no structured extraction)
Google Document AI: $40.00
Azure: $10.00
AWS Textract: $65.00
Key Takeaways
ParseFlow delivers the best balance of speed and structured extraction cost. Mistral OCR 4 is cheaper per page but requires significant post-processing to extract structured fields. The hyperscalers (Textract, Doc AI, Azure) cost 5–8x more for the same structured output, with slower response times due to their asynchronous pipeline architecture.
Interested in trying ParseFlow? Get your free API key — $5 in trial credits included.