Clean Data for your RAGTables, Handwriting & Vectors
Stop RAG hallucinations caused by messy OCR. Convert unstructured PDFs into clean, table-aware JSON - ready to push directly to your Vector Database.
Why RAG Hallucinates with Bad OCR
Built for developers who need high-accuracy OCR
Clean API - zero configuration headache
⚡ SELECT A SAMPLE
Ready to extract?
Pick a document type above to seeour platform capabilities.
Go to Dashboard (No account needed)
Show, Don’t Just Tell
We turn pixels into actionable data streams. Choose a scenario below to see ReCognition in action.
Clean Context for LLMs
Transform messy financial documents into high-fidelity JSON. Perfect for feeding semantically accurate data into your RAG pipelines.
No-loss Extraction for LLM Context
Handwriting-to-Text for Legacy Files
API-First Structured JSON Output
Convert Unstructured PDF to Clean JSON
Transform messy financial documents into high-fidelity JSON. Perfect for feeding semantically accurate data into your RAG pipelines.
Stateless by Design.
Data that never stays.
We believe you shouldn't have to trust us with your data storage. ReCognition acts as a transparent pipe: processing everything in-memory and persisting nothing.
Compliance in Progress
We are currently finalizing our formal GDPR documentation and DPA framework.Zero Persistence
Your documents are processed entirely in-memory and deleted the moment extraction is complete. For your security and peace of mind, we hold the resulting data in a temporary encrypted cache - 60 days for delivered webhooks and 90 days for undelivered ones - to ensure reliable reprocessing and claim support before permanent deletion.
EU-Based AI Compute
Complete EU-data residency: Both our core infrastructure and the Gemini AI compute models are located in Germany (Frankfurt) to ensure strict adherence to European privacy standards.
In-Transit Encryption
All data is protected by TLS 1.3 encryption from the moment it leaves your server until it reaches our EU endpoint.
Privacy Roadmap
We are architecting our platform to meet the highest EU standards. Official DPA support is coming soon.
Built for Engineers.
Optimized for Production.
Direct-to-JSON Mapping
Skip the 'wall of text.' ReCognition maps unstructured pixels directly into your desired JSON schemas—no regex or manual parsing needed.
Universal Format Support
One endpoint for every document type. Our vision models handle complex layouts with ease.
Async Webhook Architecture
POST your file with a schema and an endpoint. We handle the heavy lifting and push the structured result to your webhook as soon as it's ready.
Fully Customizable Extractions
Use predefined Blueprints or build from scratch. Extend schemas with custom fields and define specific AI prompts for niche data.
{
"file": "handwritten_invoice.jpg",
"webhook": "https://api.yoursite.com/hook",
"schema": {
"total_amount": "number",
"is_handwritten": "boolean"
}
}{
"status": "success",
"data": {
"total_amount": 1240.50,
"is_handwritten": true
}
}Free for now.
50% Off Forever.
Beta Period Notice: All features are currently free to use. No payments are being processed. Public launch and full legal registration coming Q2 2026. To ensure you experience the full power of our platform, all beta users are automatically assigned to the Business Plan. All customers who sign up during this period will get a 50% lifetime discount. When we transition to paid plans, we will never auto-charge you. You will receive a 30-day notice via email, and all early adopters will be eligible for a permanent "Beta Founder" status.
FREE
during beta
For engineers building and prototyping integrations.
500 Pages per Month
Full API Access
Standard Processing
Community Support
FREE
during beta
The industry standard for document automation.
2500 Pages per Month
Full API Access
Custom Schema Support
Email Support
FREE
during beta
Mission-critical processing for high-scale teams.
10,000 Pages per Month
Priority API Access
Dedicated API Support
Custom DPA & Security
SLA Guarantee
Engineering & RAG Solutions
Scale Your AI Pipeline
Building a complex RAG system? We do more than just OCR. We build end-to-end data ingestion layers, optimized chunking strategies, and native vector database integrations.
Need more clarity?
Explore the details.
We are currently in the process of finalizing our formal GDPR framework and DPA (Data Processing Agreement). However, the platform is architected for privacy from day one: we utilize EU-based AI clusters and maintain a strict 'No-Persistence' policy for all data.
All document extraction is performed on Google Gemini infrastructure located within the EEA (Germany). We ensure that data does not leave European jurisdictions during the processing lifecycle. We chose this model for its massive context window and superior performance on multi-page PDFs. As we move out of Beta, we are expanding to a multi-model architecture to offer even faster and more specialized extraction options.
We prioritize your privacy. Source files are processed in-memory and purged immediately after extraction. To ensure reliability, we retain only the JSON results for a limited window: 60 days for successfully delivered webhooks and 90 days for failed deliveries. This allows us to provide support and re-sync data if your system encounters a bug during the integration.
Our predefined models support Invoices, Receipts, and Purchase Orders. However, you can also define a "Custom Schema" from scratch to extract structured data from any niche document type, including handwritten notes. Check our guidelines on how to create optimized schemas, or reach out to us if you encounter any difficulties—we're happy to help you build the perfect configuration.
In the rare event of a failure, we send an error payload to your webhook. Because we do not store files, we cannot 'retry' the job for you - you would need to re-submit the document to ensure your data remains under your control at all times.
Clean Data for your RAGTables, Handwriting & Vectors
{"status": "ok","vendor": "DHL",}Why RAG Hallucinates with Bad OCR
Stop RAG hallucinations caused by messy OCR. Convert unstructured PDFs into clean, table-aware JSON - ready to push directly to your Vector Database.
No account needed
Google Gemini
WHY RECOCR?
Intelligent Extraction,
Zero Data Residue.
Beyond Raw Text
Old-school OCR gives you a wall of text. We deliver validated, structured JSON ready for your database.
Your Schema, Your Rules
Define custom JSON structures from scratch or use our pre-trained blueprints for Invoices, IDs, and Receipts.
API-First Workflow
A truly async pipeline. Send your document and receive the structured results at your webhook endpoint instantly.
Privacy by Design
Stateless RAM-only processing. We never store your documents. 100% GDPR compliant and hosted in Germany.
{
"status": "success",
"data": { "total": 42.00, "vat": 7.35 }
}
PRODUCTION USE CASES
Show, Don’t Just Tell
Deterministic Context Extraction
Eliminate RAG hallucinations with OCR that understands document semantics. Extract clean, structured JSON from invoices and receipts.
PRICING & BETA
Free for now.
50% Off Forever.
€7.49
/mo€29.99
/mo€99.99
/mo✓ Join 500+ developers in Open Beta
COMMONLY ASKED QUESTIONS
Is ReCognition GDPR compliant?
We utilize EU-based AI clusters (Germany) and maintain a strict 'No-Persistence' policy. All processing happens within European jurisdictions.
What engine handles extraction?
We use Google Gemini infrastructure in Germany for its massive context window and superior multi-page PDF performance. Data stays in the EEA.
Do you store my files?
No. Source files are processed in-memory and purged immediately. We only keep JSON results for 60-90 days to handle webhook re-syncs.
Which document types are supported?
Invoices, Receipts, and POs are native. You can also build Custom Schemas for any document.
What if a document fails?
We send an error payload to your webhook. Since we don't store files for privacy, you'll need to re-submit the document to retry.