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)

APIAvg Response TimeCold Start
ParseFlow450 ms
Mistral OCR 4800 ms
Google Document AI1.2 s3–5 seconds
AWS Textract2.5 s5–10 seconds
Azure Doc Intelligence1.5 s3–5 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.