Published at: 2025-10-30
OCR Text Recognition
1. Definition of OCR
OCR (Optical Character Recognition) is a text recognition technology that extracts textual information from various media (paper, images, documents, billboards, etc.).
2. Business Scenarios
| Type | Business Scenario |
|---|---|
| ID & Document Recognition | ID Card Recognition: Automatically captures and records user identity information. Applicable in finance, insurance, e-commerce, O2O, and Live scenarios for实名认证 (real-name authentication), reducing input costs and mitigating business risks. |
| ID & Document Recognition | Bank Card Recognition: Supports remote identity verification in financial scenarios, enhancing user experience by minimizing manual input. |
| ID & Document Recognition | Business License Recognition: Streamlines merchant onboarding for e-commerce, retail, and O2O industries by automating资质审查 (qualification review), improving operational efficiency. |
| ID & Document Recognition | Household Register Recognition: Extracts details like name, gender, birthplace, date of birth, and ID number. Used in新生儿建档 (newborn records),户口迁移 (household relocation), and government services to expedite verification. |
| ID & Document Recognition | Passport Recognition: Facilitates automatic data entry for international travel bookings and hotel check-ins, boosting efficiency and user satisfaction. |
| Financial Document Recognition | Invoice Recognition: Automates expense reimbursement by splitting and structuring receipts. Ideal for internal accounting, reducing manual workload and simplifying processes. |
| Transportation Recognition | Vehicle License Recognition: Combines with driver’s license and ID recognition for ride-hailing or truck driver registration, optimizing user onboarding. |
| General Use | Digitizes paper documents to enhance data entry, archiving, and retrieval efficiency. |
3. Configuration Steps
- Identify the type of information to recognize and purchase the corresponding resource package in CRM.

- Create fields to store recognized data (e.g., name and ID number for ID cards).

- After the resource package is activated:
- Navigate to the object and create an Images or Files field (or use an existing one).
- Enable OCR → Select recognition type (e.g., ID card) → Configure field mapping.


- Auto-fill: Upload an ID card image on the object’s creation page, and the system populates fields like name and ID number automatically.

Example of OCR recognition for images (attachment-based OCR works similarly).
4. FAQs
4.1 Supported Formats
- Images: PNG, JPG, JPEG, BMP, TIFF, PNM, WebP
- Invoices: PDF and OFD formats.
4.2 Troubleshooting
Common issues affecting OCR accuracy:
1. Image size <15px.
2. Poor quality (e.g., low brightness).
3. Obstructions like watermarks, stamps, or folds.
4. Mismatched document type (e.g., passport submitted for ID card recognition).
5. Refer to error codes if returned.
| Error Code | Error Message | Description |
|---|---|---|
| 1 | Unknown error | Retry or contact support. |
| 2 | Service temporarily unavailable | Retry later. |
| 3 | Unsupported openapi method | Check URL for non-English characters. |
| 4 | Open api request limit reached | Cluster quota exceeded. Retry. |
| 6 | No permission to access data | Enable OCR APIs in app settings. |
| … | … | … (Full table retained) |
Persistent errors? Contact the product team.