Why Extract Incident Report with Rust
Logistics companies process thousands of Incident Report documents monthly. Using Rust to automate Incident Report data extraction eliminates manual entry, reduces errors, and speeds up document processing from minutes to seconds. With the Cargoffer OCR API, you can integrate Incident Report extraction into any Rust application in under 10 lines of code.
Setting Up the Rust Client
First, get your free API key from the dashboard. Then install the HTTP client for Rust and configure authentication. The API uses Bearer token auth — pass your key in the Authorization header.
Uploading a Incident Report Document
Use the POST /api/upload endpoint to send the document file. The system auto-detects Incident Report format and routes it to the best extraction model. Upload in PDF, image, or Excel format.
Extracted Data Fields
incident_number, report_date, incident_type, location, involved_parties, description, estimated_damage, signatures.
Rust Code Example
The complete Rust integration code handles file upload, extraction request, polling for results, and error management. Error types: 401 (invalid key), 402 (quota exceeded — upgrade your plan), 429 (rate limit — wait and retry), 422 (malformed request).
Pricing & Volume
Each Incident Report extraction costs from 0.002 EUR per page. The free plan includes 1 page. The Pro plan (49 EUR/month) covers 1,000 pages — enough for 500000 Incident Report documents. Manual Incident Report data entry costs 3-15 EUR per document — OCR saves 99%.
Related Integrations
See also: [Incident Report with Python](https://ocr.cargoffer.com/tutorials/documents/incident-report-extraction/integration/python) | [Incident Report with JavaScript](https://ocr.cargoffer.com/tutorials/documents/incident-report-extraction/integration/javascript) | [Incident Report with Java](https://ocr.cargoffer.com/tutorials/documents/incident-report-extraction/integration/java) | [Incident Report via REST API](https://ocr.cargoffer.com/tutorials/documents/incident-report-extraction)