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Use Case

Give your AI agents the power to read documents

Documents are the last blind spot for AI agents. DocDigitizer gives agents a reliable document skill — MCP Protocol, CLI, or API.

Your agents are blind to documents

Current reality
Agent receives PDF path — has no way to read it
You write a document parsing tool — it works 80% of the time
Multi-page contracts confuse the chunking logic
Scanned documents with poor quality fail silently
Output structure varies — agent reasoning breaks
VS
DocDigitizer
Agent calls extract(file) — gets structured JSON back
371+ document types handled automatically
Multi-page documents understood end-to-end
Low quality inputs handled with fallback models
Deterministic JSON the agent can reason on directly

What we extract

🔗

MCP Protocol

Install DocDigitizer MCP Server, native extract_document tool.

>

CLI Tool

docdigitizer extract file.pdf with JSON output to stdout.

Synchronous API

POST document, get JSON back in same HTTP response.

{}

Structured Output

Predictable JSON structure with schema enforcement.

extraction result
from docdigitizer import DocDigitizer
client = DocDigitizer("dd-YOUR_KEY")
result = client.extract("uploaded.pdf")

print(result.json["vendor"])  # → "Acme Corp"
print(result.json["total"])   # → 1250.00
# ✓ Extracted in 2.3s · 1 credit used
✓ Works with LangChain, AutoGPT, CrewAI, custom frameworks

Security & Compliance

ISO 27001, ISO 27017, ISO 27018 certified. GDPR compliant. European data processing.

🛡️ISO 27001Information Security
Management
☁️ISO 27017Cloud Security
Controls
🔒ISO 27018PII Protection
in Cloud
🇪🇺GDPREU Data
Processing

Add document reading to your agent today

50 free extractions. No credit card required.

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