Image to Text (OCR)

Extract text from screenshots and images using WASM‑powered OCR—bridge your image tools and text workflows with private, in‑browser processing.

⭐ Ranked #30 most popular tool on Hostt

Start Extracting Text

Upload an image, run OCR, and copy the extracted text

Image

Drag & drop an image or

More languages can be enabled by customizing Tesseract.js assets.
Status:

Extracted Text

How to Use Image to Text

  1. 1

    Add Your Image

    Drag and drop a screenshot or choose an image file. The tool works locally in your browser without uploading anything.

    Tip:Clean, high‑contrast images yield the best OCR accuracy.
  2. 2

    Select Language

    Choose the OCR language (English by default). The engine loads on demand to keep things fast.

    Tip:If text is mixed language, run separate passes for best results.
  3. 3

    Run OCR

    Click Run OCR to start the WASM engine. Watch progress and status updates as text is recognized in your image.

    Tip:Crop or zoom images before OCR to reduce noise.
  4. 4

    Review & Copy

    Edit the extracted text inline, then copy for use in docs, tickets, or search.

    Tip:Store recurring screenshots to test consistency across runs.
  5. 5

    Iterate Quickly

    Try different images or adjust capture settings to improve recognition across fonts and backgrounds.

    Tip:Screenshots with crisp fonts and flat backgrounds perform best.

Features & Benefits

🧠

Client‑Side OCR

WASM‑powered recognition via Tesseract.js—no servers, full privacy.

🖼️

Screenshot‑Friendly

Optimized for UI screenshots, error dialogs, and code snippets.

📈

Live Progress

Clear status and percentage updates while recognizing text.

✏️

Inline Editing

Edit extracted text directly before copying or saving.

🌐

Language Support

Start with English and extend with additional language data when needed.

🔒

Privacy‑First

Everything runs locally in your browser—no uploads.

Frequently Asked Questions

Is my image uploaded anywhere?

No. OCR runs locally using Tesseract.js in your browser. Images and text never leave your device.

Which image formats are supported?

Common formats like PNG and JPEG work well. Screenshots with high contrast and readable fonts yield the best results.

What about multiple languages?

English is included by default. You can extend the engine with additional language data for multilingual screenshots.

How accurate is the OCR?

Accuracy depends on image quality, fonts, and contrast. Clean screenshots generally produce strong results with minimal corrections.

Can I edit the result?

Yes. The extracted text is editable so you can fix minor recognition issues before copying.

Does this work offline?

Once the OCR engine is cached by your browser, recognition can work offline for repeat sessions.

Technical Specifications

Processing: 100% client‑side OCR
Formats: PNG, JPG, WebP, etc.
Language: English (extendable)
Limits: Image size bound by memory
Privacy: No uploads or storage
Output: Plain text extraction

Use Cases & Applications

Debugging

Error Messages

Extract stack traces or errors from screenshots to share in tickets.

Documentation

Docs & Notes

Turn UI screenshots into searchable text for docs or notes.

Engineering

Code & Configs

Grab text from screenshots of code editors or terminal windows.

Governance

Compliance & Audits

Capture on‑screen evidence and extract text for audit trails.

Localization

Localization Prep

Extract UI copy for translation workflows without manual typing.

Accessibility

Accessibility

Provide text equivalents for images in internal knowledge bases.