MyFreeOCR
Optical character recognition is the process of recognizing characters from an image. This is especially useful if you want to edit a scanned document.
You can use our free online OCR service to convert your scanned documents and download it as a text file ready for editing. Your document should be a valid PDF file or image, for example: PDF, JPG, PNG.
Our free OCR service can handle several languages, including: Chinese, English, Portuguese, Spanish, etc.
Start converting image to text now!
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Google Cloud Vision AI
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.
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Zhuque AI Detection Assistant
Tencent’s Zhuque AI text detection assistant uses multiple advanced AI models trained on vast datasets to recognize writing patterns from both humans and AI. It is highly effective in detecting AI-generated text in English and performs exceptionally well with Chinese content. In addition to text, Zhuque offers an image and video detection tool that determines if media is fully AI-generated or human-created. This detector is trained on millions of images and videos spanning photography, digital art, paintings, posters, movies, and short videos. It currently supports detection for outputs from major AI generation models in the market. The system continues to expand its capabilities to cover more AI models over time.
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Dynamsoft Label Recognition
Dynamsoft Label Recognizer uses OCR to extract text, numbers, and structured data from labels with high accuracy and speed. Built for enterprise workflows, it recognizes text in challenging conditions - low contrast, curved surfaces, distorted images, or imperfect lighting, making it ideal for manufacturing, logistics, retail, and healthcare use cases.
The SDK supports customizable recognition templates, allowing developers to define expected text zones, patterns, and formats for consistent output. It handles multi-line labels, serial numbers, SKU information, date codes, lot numbers, and alphanumeric strings with strong error handling.
Dynamsoft Label Recognizer works across Windows, Linux, Android, iOS, and major browsers via JavaScript frameworks. It integrates seamlessly with Dynamsoft Barcode Reader and Camera Enhancer, enabling combined barcode + text extraction in a single workflow.
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