Upload an image with readable text
Choose a screenshot, scan, receipt, label, or document photo. BatchTool reads the image locally in the browser.
Free Image OCR Tool - Extract Text from Images with No Uploads
Turn image-only text into editable text locally without uploading source files. PP-OCRv6 supports 50 languages, including Simplified Chinese, Traditional Chinese, English, Japanese, and 46 Latin-script languages. Runs entirely in your browser with no uploads.
Drop an image, or click to choose
How to extract text from images online in 3 steps
Select the OCR model and run recognition
Use the OCR controls to recognize text from the selected image without uploading source files to a server.
Copy or download the extracted text
Review the result, copy it to your clipboard, or export a plain text file for editing and sharing.
PP-OCRv6 model family
Choose the OCR tier that matches speed, memory, and accuracy.
BatchTool uses PP-OCRv6, PaddleOCR's universal OCR model family for real-world text detection and recognition. The family scales across three tiers from 1.5M to 34.5M parameters, so you can trade latency and memory for higher recognition quality. Read the PP-OCRv6 release notes
ModelSizeDetection HmeanRecognition accuracyBest fit
PP-OCRv6 Tiny
Size: 1.5M params
Detection Hmean: 80.6%
Recognition accuracy: 73.5%
Edge devices, lightweight local OCR, latency-sensitive demos, and constrained environments.
PP-OCRv6 Small
Size: 7.7M params
Detection Hmean: 84.1%
Recognition accuracy: 81.3%
Mobile, desktop, balanced OCR services, and multilingual OCR with lower compute cost.
PP-OCRv6 Medium
Size: 34.5M params
Detection Hmean: 86.2%
Recognition accuracy: 83.2%
Accuracy-oriented OCR, server-side pipelines, industrial OCR, document ingestion, and multilingual OCR.
BatchTool defaults to Tiny for fast browser startup. Pick Small or Medium when the image has dense, multilingual, small, or noisy text and your device has enough memory.
Why choose BatchTool Image OCR?
Local text extraction
Select an image and recognize text without sending files to a server.
Copy or download
Send recognized text to your clipboard or export a clean text file.
Works with images
Use screenshots, receipts, packaging labels, scans, or document photos.
Turn image-only text into editable text.
OCR is useful for pulling text from screenshots, reference images, document photos, form captures, and visual notes before editing or sharing the content.
Best use cases for Image OCR
Documentation teams
Pull text out of screenshots, reference captures, and image-only notes before editing them into docs.
Operations and admin work
Extract useful text from receipts, labels, forms, and scanned snippets without sending private files away.
Research workflows
Turn visual references into searchable text that can be quoted, cleaned, or organized in another tool.
Frequently asked questions
Does BatchTool upload my images or recognized text?
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No. OCR runs in your browser. Your source images and recognized text stay on your device, though the browser may download and cache the selected PP-OCRv6 model files.
Which image formats can I use for OCR?
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The OCR workspace accepts JPEG, PNG, and WebP images. Clear screenshots, scans, receipts, labels, and document photos usually work best.
Which PP-OCRv6 model should I choose: Tiny, Small, or Medium?
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Use Tiny for the fastest local startup, Small for a better balance of speed and accuracy, and Medium when accuracy matters more than memory or latency.
How can I improve OCR accuracy?
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Use a sharp, high-resolution image with good contrast, avoid motion blur and heavy perspective distortion, crop away irrelevant areas, and try Small or Medium for dense, small, noisy, or multilingual text.
Can BatchTool process multiple images or export tables?
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Yes. You can add multiple images, run batch OCR, copy or download recognized text, and export detected table data as HTML, XLSX, CSV, or Markdown.
Does the OCR tool recognize handwriting?
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It is designed mainly for printed or clearly rendered text. Handwriting, decorative fonts, low contrast, skewed photos, or very small characters may produce incomplete results.
