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Brainiall OCR visualized — a stack of business documents being scanned by a horizontal cyan light beam with extracted text lines floating to the right as clean Markdown

Brainiall OCR

OCR ~428 ms · document images to clean Markdown text · 10-20× cheaper than enterprise OCR APIs. MIT-licensed open weights.

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⚡ Performance KPIs (measured)

MetricBrainiallAWS Rekognition / Textract
OCR latency (Brainiall OCR engine, quantized)~428 ms300–700 ms (DetectText)
Throughput per CPU coreOCR ~3 RPSCloud auto-scale=

🎯 Capability matrix

MetricBrainiallAWS Rekognition / Textract
Printed text OCR✅ Brainiall OCR engine✅ DetectText=
Languages supportedEnglish (printed text)8 (en, ar, ru, de, fr, it, pt, es)R
Open weights you can audit✅ Brainiall OCR (production-grade)❌ Proprietary
LGPD / GDPR-by-default✅ EU/BR datacenter🟡 us-east default

📊 Quality benchmarks

MetricBrainiallAWS Rekognition / Textract
Printed text accuracy (industry OCR benchmark)Brainiall OCR ~94% F1 on industry OCR benchmarksNot published (claim 'high accuracy') [source]

Pricing

Free

500 pages/month

Get started.

OCR

$0.00075 / page

Printed-text extraction to Markdown — one price, one quality level.

Quickstart (Python)

OCR now runs a single quality level. The `tier` parameter is still accepted — `tier: "fast"` returns the same result as `pro` — so existing integrations keep working unchanged.

import base64, httpx
img = base64.b64encode(open("document.jpg", "rb").read()).decode()
resp = httpx.post(
 "https://api.brainiall.com/v1/ocr/extract/base64",
 headers={"Authorization": "Bearer brnl-..."},
 json={"image": img},
)
print(resp.json())
{
 "request_id": "req_71c9f3…",
 "processing_ms": 428,
 "text": "ACME CORP\nInvoice #INV-9214\nSubtotal 480.00\nTax 48.00\nTotal 528.00",
 "confidence": 0.94,
 "low_confidence": false,
 "warnings": []
}

Comparison methodology & disclaimer

Brainiall measurements: our production infrastructure, May 2026. Model: Brainiall OCR engine (quantized).

AWS data: Rekognition DetectText latency from AWS docs; Textract pricing from aws.amazon.com/textract/pricing/. Note that AWS routes form parsing to Textract (separate product, ~$50/1k pages Forms tier).

Notes:

  • Brainiall S8 v1 covers the Brainiall OCR engine (English printed text → clean Markdown). Multi-language OCR (80+ languages) is on the roadmap for a later release.
  • productsDocumentAi.brainiallFormParserEngineIs
  • Quality benchmarks come from original papers — independent reproduction may yield different numbers.
  • Trademarks: Amazon Web Services, Rekognition, Textract are trademarks of Amazon.com, Inc. This page is informational comparison; not endorsed by AWS.

Last reviewed: May 2026.

vs Mistral OCR 3 (December 2026)

Mistral OCR 3 launched December 2026 at $0.002/page with SOTA quality on tables, figures, and math equations. It is the most disruptive new entrant in the OCR category — and we are honest that on raw OCR quality across complex documents, it likely leads. Here is how S8 (Brainiall OCR engine) fits next to it.

  • Raw OCR quality: Mistral leads on math/figures/multi-column scientific layouts. S8 (Brainiall OCR engine) is solid on receipts, invoices, and technical documentation.
  • Clean Markdown output: S8 (Brainiall OCR engine) returns clean Markdown text — headings, tables and lists preserved — ready to feed an LLM, instead of raw characters and bounding boxes you have to reassemble. Mistral returns plain text + bounding boxes.
  • Confidence scoring: Per-block confidence scores on every response, so you can gate low-quality scans at the API boundary instead of letting them leak into your downstream agents.
  • Audit trail: Per-call audit DB row with 90-day retention. Mistral is a stateless API; you bring your own logging.
  • Self-host option: Production-grade engine (Brainiall OCR engine, permissive license / MIT). Auditable for regulated industries and airgap-deployable. Mistral is API-only.
  • Price: $0.00075/page (S8) vs $0.002 (Mistral). ~2.7× cheaper — and includes per-call audit trails Mistral omits.

When to pick Mistral: pure cheap OCR, no downstream pipeline, SOTA quality required on math/figures.

When to pick Brainiall: need clean Markdown text output, a per-call audit trail for compliance, or self-host capability for airgap deployments. For structured field extraction, use Brainiall Document Intelligence.

LLM-ready output at a fraction of traditional OCR cost

Every endpoint in the Brainiall document family returns text your pipeline can use immediately — clean Markdown, typed JSON fields or structured tables — not a raw OCR dump you still have to post-process. And it does so at simple per-page prices that come to a fraction of traditional cloud OCR suites and their per-feature billing matrices.

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