Smart OCRv1.0Stop writing custom regex to parse Google Vision text blocks. SmartOCR layers Spatial Layout Analyzers and multi-modal engines to give you clean, schema-validated Structured JSON instantly, saving you months of engineering time.
Smart OCR routes every document across a curated stack of AI providers and local models, then returns Structured JSON AI Models validated against your schema.
{
"fullText": "string",
"detectedLanguages": ["string"]
}{
"fullText": "Sony A7 IV Body qty 1 total 2498.00...",
"detectedLanguages": ["en"]
}Intelligent orchestration across specialized computer vision, spatial parsing, and multi-modal models. An AI-driven routing layer sends each document to the optimal engine — and automatically falls back if any engine encounters a timeout or layout degradation. No single point of failure in your extraction pipeline.
An LLM-backed normalization layer cleans, types, and reconciles every extracted field against your schema — fixing OCR noise, unifying date and currency formats, and returning structured values your services can trust out of the box.
Proprietary table-extraction algorithms detect table geometry and cell boundaries before routing, preserving row/column relationships for invoices, statements, and structured forms. Nested line items map cleanly into your typed JSON schema.
Bring your own JSON schema. Our Structured JSON AI Models map and validate fields against your contract — nested objects, typed values, required keys — so the response is safe to insert into your database without a post-processor.
PDFs containing embedded digital text are parsed natively in milliseconds, bypassing OCR entirely. Character-perfect text, lower latency, and no per-page OCR cost on the documents that don't need it.
Scoped API keys, per-key rate limiting, signed webhooks for async jobs, and audit logs on every request. Production controls without operational overhead.
Smart OCR is built for teams handling sensitive financial, medical, and legal documents. Privacy and isolation are defaults, not add-ons.
Documents are processed in memory and discarded from our servers immediately. Data routed to upstream AI providers is transmitted via secure APIs under strict enterprise agreements that prohibit model training on your data.
All traffic is encrypted in transit with TLS 1.2+. API keys are stored hashed at rest, requests are isolated per tenant, and provider credentials never leave our infrastructure.
Every API key and request operates in a logically isolated environment. Access credentials, schema configurations, and requests are separated using strict logical boundaries to ensure complete data privacy and zero cross-tenant access.
POST a file and a target schema to /v1/extract. Receive validated, type-safe JSON. No prompt engineering, no token math.
$ curl -X POST https://api.smartocr.dev/api/ocr/extract \
-H "x-api-key: YOUR_API_TOKEN" \
-F "file=@/path/to/image.png" \
-F 'schema={"fullText": "", "detectedLanguages": []}'Create an account today and instantly receive 10 free API credits to extract data from your first 10 documents. No credit card required.
Everything you need to know about Smart OCR vs. Google Cloud Vision.
Google Cloud Vision is exceptional at raw visual OCR (finding characters and dense text on images), but does not structure data. Smart OCR takes raw text coordinates and processes them with our Multi-Modal Document Engine and spatial algorithms to output formatted, schema-validated JSON.
Because our multi-provider network uses highly optimized edge routing and streams layout data in parallel to LLM validators, the added structured parsing takes less than 500ms, bringing total extraction time to under 4 seconds.
Yes. Google Vision's raw coordinate text is aligned using our layout geometry model to reconstruct rows and columns, after which our LLM maps them directly into nested arrays within your schema.
No single OCR engine is best at everything. Spatial analyzers are outstanding at dense multilingual text, enterprise computer vision at grid-based tables, and our multi-modal engine at semantic structure. Smart OCR prevents single-vendor dependency by dynamically choosing the best engine for your specific document type, with automatic retry fallbacks to guarantee successful extractions.
No subscriptions. No surprises. Credits never expire.
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