Brainiall OCR
⚡ Performance KPIs (measured)
| Metric | Brainiall | AWS Rekognition / Textract | |
|---|---|---|---|
| OCR latency (Brainiall OCR engine, quantized) | ~428 ms | 300–700 ms (DetectText) | ★ |
| Throughput per CPU core | OCR ~3 RPS | Cloud auto-scale | = |
🎯 Capability matrix
| Metric | Brainiall | AWS Rekognition / Textract | |
|---|---|---|---|
| Printed text OCR | ✅ Brainiall OCR engine | ✅ DetectText | = |
| Languages supported | English (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
| Metric | Brainiall | AWS Rekognition / Textract | |
|---|---|---|---|
| Printed text accuracy (industry OCR benchmark) | Brainiall OCR ~94% F1 on industry OCR benchmarks | Not 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.
