Mistral OCR vs Surya

Mistral OCR9.0Visit SSurya7.8Visit

Higher score Mistral OCR #2 in OCR API Software 9.0/10 Paid ✓ 3 of 4 features Visit Mistral OCR

vs

S Surya #8 in OCR API Software 7.8/10 Open source ✓ 0 of 4 features Visit Surya

• Mistral OCR fits best

  Low-cost modern OCR API processing

• Surya fits best

  Open-source layout-aware OCR

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Side by side

Feature	Mistral OCR 9.0/10 Visit ↗	SSurya 7.8/10 Visit ↗
At a glance
Editor score	9.0	7.8
Ranking	#2 in OCR API Software	#8 in OCR API Software
Best for	Low-cost modern OCR API processing	Open-source layout-aware OCR
Pricing model	Paid	Free
Starting price	$4/unit usage-based	Open source
Free plan	Not checked yet	Not checked yet
Free trial	—	—
Deployment	Cloud, Self-hosted	Self-hosted, Desktop
Built for	Small business, Mid-market, Enterprise	Solo, Small business, Mid-market
Features Mistral OCR 3/4 · Surya 0/4
Structure extraction	✓ (best)	Not checked yet
Handwriting OCR	Not checked yet	Not checked yet
Table extraction	✓ (best)	Not checked yet
Asynchronous processing	✓ (best)	Not checked yet
Specs
Maximum file size	512 MB	Not checked yet
SDK languages	Python, TypeScript	Not checked yet
Our review
Pros	$4 per 1,000 pages for standard OCR API processing Extracts structure, tables, images, annotations, and confidence scores Batch processing costs $2 per 1,000 pages asynchronously	Processes images and PDFs with structured HTML output Adds layout, reading-order, table, and OCR error analysis Supports 91 languages with local inference options
Cons	API-centered workflows may not suit teams seeking a ready-made OCR app The 2023 founding year offers less operating history than older vendors Batch processing is asynchronous rather than immediate	Platform coverage centers on Linux, macOS, and self-hosting Integration coverage is narrower than broader OCR platforms It is a package and model, not a conventional hosted SaaS product
Our verdict	Mistral OCR is an API-based document processing service for developers and organizations that need to extract text and structure from documents and images. It accepts document URLs, uploaded files, and image URLs, and returns outputs such… Read the review →	Surya is an open-source OCR model and document-analysis toolkit from Datalab for developers and teams that need local processing of images and PDFs. It combines full-page OCR with structured HTML output, document layout analysis,… Read the review →

Strengths and trade-offs

• Mistral OCR — where it wins

  • $4 per 1,000 pages for standard OCR API processing
  • Extracts structure, tables, images, annotations, and confidence scores
  • Batch processing costs $2 per 1,000 pages asynchronously

  Where it doesn't

  • API-centered workflows may not suit teams seeking a ready-made OCR app
  • The 2023 founding year offers less operating history than older vendors
  • Batch processing is asynchronous rather than immediate

• Surya — where it wins

  • Processes images and PDFs with structured HTML output
  • Adds layout, reading-order, table, and OCR error analysis
  • Supports 91 languages with local inference options

  Where it doesn't

  • Platform coverage centers on Linux, macOS, and self-hosting
  • Integration coverage is narrower than broader OCR platforms
  • It is a package and model, not a conventional hosted SaaS product

• Mistral OCR9.0/10 · Paid

  A low-cost OCR API with structured outputs, tables, confidence scores, and batch processing.

  Visit Mistral OCRFull verdict →
• SSurya7.8/10 · Open source

  A capable self-hosted OCR toolkit for structured image and PDF processing.

  Visit SuryaFull verdict →