OCR Toolv1.0.0
Runs Tesseract.js OCR on JPG, PNG, GIF, WEBP, or PDF inputs (up to 20 MB each) and outputs extracted plain text. Supports 13 languages including English, French, German, Spanish, Italian, Portuguese, Russian, Japanese, Chinese (Simplified and Traditional), Korean, Arabic, and Hindi, with a selectable quality mode. Multiple files are queued and processed in the browser; clipboard paste accepts images directly.
Documentation
Convert images and scanned PDFs into editable, copyable text with fast, client-side Optical Character Recognition (OCR). Process files directly in your browser using Tesseract.js and PDF.js to keep content private and responsive. Upload or paste screenshots, scans, or photos, then review results with a confidence indicator and optional per-file outputs. Save time by handling multiple files in a single batch and export everything as plain text or a ZIP package for archiving.
Speed up document workflows with features that reduce manual typing and reformatting. Select a preferred OCR language, enable high-accuracy mode, and apply helpful options such as deskew, denoise, and auto-rotate. Rely on low-memory mode when working on lightweight devices.
- Process common formats including JPG, JPEG, PNG, GIF, WEBP, and PDF.
- Run fully in the browser for privacy, performance, and convenience.
- Choose languages such as English, French, German, Spanish, Chinese, Japanese, Korean, Arabic, Hindi, and more.
- Batch files, copy all results at once, or download a ZIP with a manifest.
- Use clear status messages, live regions, and simple controls with keyboard support.
Run OCR in a few steps and export clean text for editing, sharing, or storage. The tool performs OCR on images directly and renders each PDF page to an image before recognition. You can select a global language and per-file language to improve accuracy. Use high-accuracy mode for best results or fast mode for quick drafts. Turn on deskew and denoise to help with tilted or noisy scans, and enable auto-rotate to fix sideways photos.
- Open the upload area, then drag and drop files or click to select them. You can also press the paste button and paste from the clipboard.
- Pick the Global OCR language, then adjust Quality (Fast or High accuracy) and optional processing (Deskew/Denoise, Auto-rotate, Low-memory mode).
- For any file that needs a different language, set it in the file card before starting OCR.
- Click Start OCR and watch the live status and spinner. The tool processes files in sequence and updates progress for each one.
- Review results in the Results section. Click Copy text per file or Copy all to consolidate outputs.
- Click Download .txt per file or Download all as .zip to save everything with a manifest.
- Use Clear to reset the session, files, and results. Control settings persist to localStorage so you can keep your preferred defaults.
Limits and logic (plain text for reference): Max files per batch = 8; Max file size = 20 MB; Max combined batch size = 80 MB; Max total PDF pages = 60. PDFs are rendered to images with PDF.js, then passed to Tesseract.js for recognition. Confidence shows an approximate quality score (0–100). High accuracy mode sets a more robust OCR engine mode; fast mode favors speed. Preserve interword spaces to maintain readable spacing in output.
Apply the OCR Tool to speed up study, research, recordkeeping, and content creation. Extract text from lecture slides, whiteboard photos, invoices, or printed forms and move the content into notes, spreadsheets, or writing apps. Improve clarity by running deskew, denoise, and auto-rotate so you can recognize text from mobile snapshots and older scans. Save time by batching files and exporting a single ZIP with consistent, plain-text outputs.
- Study and notes: Convert class handouts, textbook excerpts, and whiteboard photos into searchable notes for exam prep.
- Workplace documents: Capture text from receipts, packing slips, contracts, and reports to streamline bookkeeping and audits.
- Research and archiving: Digitize magazine clippings and historical pamphlets to create a simple text corpus for analysis.
- Content repurposing: Turn scanned articles or print designs into editable text for blogs, newsletters, and accessibility versions.
- Localization prep: Extract source text for translation workflows, then feed it to translation tools or CAT platforms.
- Developer utilities: Generate plain text from screenshots of logs or terminal output to share snippets and error messages.
- Accessibility support: Provide text alternatives for images and scanned PDFs to improve screen reader compatibility.
- Administrative efficiency: Batch scan and convert recurring forms so teams can paste clean text into CRMs or spreadsheets.
Adopt a consistent routine for scanning, naming files, and selecting languages to improve accuracy over time. Use high-accuracy mode for important documents and fast mode for quick drafts. Keep outputs in plain text to simplify QA, version control, and downstream formatting. When in doubt, re-run a single file with a different language or enable deskew and denoise to improve results without repeating the entire batch.
Inputs, outputs, and what the OCR Tool computes
The form above accepts the following inputs and produces the outputs listed below. This summary is rendered in the page so the parameters are visible to crawlers, assistive tech, and indexing agents that don't fetch the embedded tool frame.
Inputs
- Global OCR language · default: English
- Deskew and denoise
- Auto-rotate based on EXIF/text
- Low-memory mode
- OCR Language
- OCR Output
Controls
Clear · Copy all · Download all as .zip · Copy text · Download .txt
Worked example
Run OCR in a few steps and export clean text for editing, sharing, or storage.