Fast and Accurate Image Text Recognition

Quickly and accurately recognize text in images using AI technology, supporting multiple languages and fonts. Whether it's scanned documents, business cards, or handwritten notes, we can easily recognize them.

OCRAny - Fast and Accurate Image Text Recognition

Powerful OCR Features

OCRAny provides comprehensive text recognition solutions for various scenarios

High Accuracy Recognition

Using advanced AI technology to provide up to 99% recognition accuracy

Fast Extraction

Advanced algorithms ensure fast processing with millisecond-level response, quickly recognizing and extracting text even for large volumes

Multi-language Support

Support for over 40 languages including Chinese, English, Japanese, Korean, with automatic language detection

Privacy Protection

All uploaded images and recognition results are strictly confidential, ensuring your data security

API Integration

Simple and easy-to-use API interface that can be easily integrated into your applications, supporting multiple programming languages

Cloud Processing

No software installation needed, all processing is done in the cloud, saving local resources

Three Simple Steps for Easy Recognition

OCRAny makes text recognition simple and intuitive, without complex operations

1

Upload Image

Select or drag and drop your image file to the upload area

2

Automatic Recognition

The system automatically processes the image and extracts the text content

3

Get Results

View the recognition results, copy, edit or download the text content

Upload Images to Recognize Text

Supports multiple formats including JPG, PNG, GIF, with a maximum size of 10MB

Click or drag to upload image
Supports JPG, PNG, GIF formats, up to 10MB maximum.

Use Cases

OCRAny is suitable for various scenarios, helping you easily handle different text recognition needs

Document Digitization

Convert paper documents to digital formats for easy storage, search, and management

Automated Data Entry

Automatically extract data from forms, invoices, receipts, and other documents to reduce manual input

Contract Review

Quickly extract key terms and information from contracts to improve review efficiency

Business Card Management

Scan business cards and automatically extract contact information for import into CRM systems

User Reviews

See what other users say about OCRAny's services

"OCRAny helped our company quickly digitize a large number of historical documents with very high recognition accuracy, saving us significant labor costs."
User avatar
Manager Zhang
Tech Doc Management
"As a student, I often need to convert handwritten notes to electronic versions. OCRAny's service saves me a lot of trouble, and the recognition effect is excellent!"
User avatar
Student Li
Graduate Student at a University
"We use OCRAny for contract review. The recognition is fast and accurate, greatly improving our work efficiency."
User avatar
Lawyer Wang
Partner at a Law Firm

Frequently Asked Questions

If you have any questions during use, please check our frequently asked questions

How to upload images?
What image formats are supported?
How to save recognition results?
Is batch processing supported?
How fast is the recognition?
How do you protect my privacy?
Do you provide API interfaces?
How to contact customer service?
How accurate is the recognition?
Is handwritten text recognition supported?

API for Developers

Integrate our OCR API into your application with just a few lines of code to implement text recognition functionality

Simple Integration

RESTful API design, supporting multiple programming languages

High Performance

Millisecond-level response, supporting high concurrency requests

Flexible Pricing

Pay-as-you-go, meeting the needs of projects of different scales

curl -X POST https://api.ocrany.com/v1/ocr 
- H "Authorization: Bearer YOUR_API_KEY" 
- F "file=@/path/to/image.jpg"

Ready to Improve Your Document Processing Efficiency?

Register for OCRAny now and start experiencing efficient, accurate OCR services. Free trial available, no credit card required.