Bild in Text umwandeln
OCR im Browser. Screenshot einfügen, Text bekommen. 16 Sprachen, kein Upload, kein Konto.
Bilder hier ablegen
oder klicken zum Auswählen, oder Strg+V für einen Screenshot aus der Zwischenablage. PNG, JPEG, WebP, GIF, BMP, AVIF.
Wähle die Sprache, die im Bild steht. Die falsche Wahl ist der häufigste Grund für schlechte Ergebnisse.
Eine Änderung startet alle Bilder neu.
The image to text converter that never uploads your image
Paste a screenshot, drop a photo, or convert a whole batch. Recognition runs inside this tab in 16 languages, tells you which words it was unsure about, and hands the text back as copy or .txt. No account, no cap, no upload.
How it works
Paste, drop, or pick
Press Ctrl+V with a screenshot on your clipboard, drag images in, or click to select. Several at once is fine.
Set the language
Spanish is the default. Sixteen languages available, each loaded on demand. Getting this right matters more than any other setting.
Copy or download
Read the text, check the words flagged as low confidence, then copy it or save it as a .txt file.
What it does
Recognition runs in your tab
A WebAssembly build of Tesseract does the reading locally. The only network requests are the one-time engine and language model downloads. Your image is never uploaded, so there is no copy of your document on anyone's server to leak, subpoena, or forget to delete.
Paste a screenshot with Ctrl+V
The real use case for most people is a screenshot they took thirty seconds ago. Paste it straight onto the page. No temp file, no file picker, no upload dialog. Most OCR sites still make you save the image first.
16 languages, loaded on demand
Spanish, English, French, German, Portuguese, Italian, Catalan, Dutch, Polish, Turkish, Russian, Arabic, Hindi, Japanese, Korean, Simplified Chinese. Each model downloads once and is cached, so the tool stays fast without shipping 100 languages you will never use.
Per-word confidence, not a wall of text
Every word carries a score. The summary counts how many landed high, medium and low, the shaky ones are listed with their percentage, and you can highlight them directly on the image. You proofread the five words that need it, not the whole page.
Preprocessing that measurably helps
Grayscale plus a percentile contrast stretch by default, with an optional Otsu threshold pass. Tesseract was trained on clean high-contrast scans; giving it something closer to that is the cheapest accuracy lift available client-side.
Live progress, never a frozen tab
Recognition reports progress as it works: loading the language, then reading the page. A large photo is scaled to 3000 pixels on its longest side first, because above that the engine slows down super-linearly with no accuracy gain.
Batch with per-file results
Drop twenty images. Each gets its own text panel, confidence summary and download. One copy-all button and one combined .txt when you want the lot.
No signup, no cap, no watermark
No account, no email, no daily quota, no page limit, nothing stamped on the output. There is nothing to meter, because there is no server doing the work.
Why use this one
Privacy you can verify yourself
Most free OCR sites upload your file, run recognition on their infrastructure and keep it for some period their terms describe vaguely. That matters when the image is an ID, a contract, a payslip or a medical result. Here you can open the network tab and confirm the image is not in any request.
No account wall
The usual pattern is three free pages, then an email address, then a card. This tool has no account, so there is no wall to hit. Nothing about the design depends on converting you into a paying user.
Honest about what it got wrong
Every OCR engine makes mistakes. Most tools hand you a block of text and let you discover them later, in the document you already sent. This one tells you which words it was unsure about, and shows you where they are on the image.
Built for Spanish first
Spanish is the default language, not an afterthought behind English. Accented characters and the inverted punctuation come through correctly because the right model is loaded from the start.
Compared to the server-side OCR sites
| Feature | Molixa | OnlineOCR | i2OCR |
|---|---|---|---|
| Where recognition runs | Your browser | Their server | Their server |
| Free tier | Unlimited | 15 pages per hour, guest | Limited, with ads |
| Signup required | Never | For more than 15 pages | For batch |
| Clipboard paste | Yes, Ctrl+V | No | No |
| Batch upload | Yes, no count limit | Paid plans | Limited |
| Per-word confidence | Yes, with on-image highlighting | No | No |
| Preprocessing controls | Grayscale and Otsu binarize | No | No |
| Your file retained | Never leaves the tab | Per their retention policy | Per their retention policy |
What people use it for
Copy text out of a screenshot
An error message, a chat you cannot select, a slide in a video call. Screenshot it, press Ctrl+V here, get the text back in seconds.
Digitise a receipt or invoice
Photograph the paper, set preprocessing to Binarize for a dim shot, and pull the line items out as text you can paste into a spreadsheet.
Get quotes out of a book page
Photograph the page, read it in the right language, and copy the passage instead of retyping it. Check the flagged words before you cite it.
Turn a scanned document into editable text
Drop the scan, copy the output into your editor, keep the formatting decisions to yourself. Nothing about the document reaches a third party.
Extract text from an infographic or chart
Labels, legends and axis text that were never selectable. Batch the whole set and download one combined .txt.
Read a foreign-language sign or menu
Photograph it, pick the language, get the characters as text you can paste into a translator. Two steps, no account for either.
Step by step
Convert a screenshot to text in five seconds
- 1.Take your screenshot so it is on the clipboard.
- 2.Come to this page and press Ctrl+V (Cmd+V on Mac). No need to click anything first.
- 3.The language model downloads once, then recognition starts. Watch the progress bar.
- 4.Click Copy. The text is on your clipboard.
Get better results from a phone photo
- 1.Shoot the page flat and filling the frame. Perspective and curl hurt more than resolution does.
- 2.Drop the photo in and set the language to match the text.
- 3.If the output looks noisy, switch preprocessing from Grayscale to Binarize. That re-runs recognition automatically.
- 4.Check the low-confidence word list before trusting the result.
Convert a batch and get one text file
- 1.Select or drag every image at once. They queue up and run in order.
- 2.Each file gets its own panel with its own confidence summary.
- 3.When two or more are done, a batch bar appears at the top.
- 4.Click Download all to get a single .txt with every result, separated by blank lines.
Find and fix the words it got wrong
- 1.After a conversion, look at the three confidence chips: high, medium, low.
- 2.The words below the medium threshold are listed underneath with their scores, worst first.
- 3.Click Show uncertain regions to draw those words as boxes on the image itself.
- 4.Fix them in the text box, then copy or download.
How to get the most accurate result
OCR accuracy is decided before recognition ever starts. In rough order of how much each one matters:
- →Pick the right language. Reading Spanish with the English model is the single most common cause of garbage output, because the accented characters have nowhere to land.
- →Shoot or crop the text so it fills the frame and sits flat. Perspective, curl and shadow cost far more accuracy than resolution does.
- →Prefer a screenshot to a photo of a screen. A screenshot is already clean, sharp, high-contrast pixels.
- →Switch preprocessing to Binarize when the image is dim or low contrast, and back to None when it is already clean black-on-white with anti-aliased type.
- →Read the confidence numbers. They are the tool telling you honestly where it guessed, and they are more useful than any accuracy percentage we could put on this page.
Privacy + security
Your image never leaves your browser
Recognition is a WebAssembly build of Tesseract running in a web worker in this tab. The image is decoded to a canvas, preprocessed, and read locally. There is no upload endpoint, no job queue, no stored file, and no log entry, because there is no server involved in the recognition path at all.
Requests do go out, once each: the recognition engine from this site, and the language model you selected from a public CDN. Both are then cached by your browser, and neither carries any part of your image. Open the network tab and check. That distinction is the whole reason to use this rather than a site that quietly posts your ID card or contract to a server you know nothing about.
Who it's built for
Anyone with a screenshot
Ctrl+V and the text is yours. The fastest path from an unselectable screen to a paste-able string.
People digitising paper
Receipts, invoices, forms, book pages. Binarize preprocessing plus the confidence list turns a phone photo into something you can trust enough to paste.
Privacy-conscious people
If you would not email the document to a stranger, do not drop it on a site that uploads it. This one has nothing to upload it to.
Bilingual and international users
Spanish first, plus 15 more languages including Arabic, Russian, Japanese and Chinese. Each model loaded only when you ask for it.
Questions people ask
Is the image to text converter free?
Where does my image get sent?
Which languages can it read?
How accurate is it?
What does the preprocessing setting do?
Can I paste a screenshot instead of uploading a file?
Can I convert several images at once?
What happens with a very large image?
What if it finds no text?
Does it work with handwriting?
Does it work offline?
Can I convert a PDF to text here?
Try it now
Turn any image into text without uploading it
Free. No signup. No page cap. Paste a screenshot with Ctrl+V and read the text in seconds.
Extract text nowDie Bild in Text umwandeln-Seite wird vom Molixa-Team erstellt, geprüft und gepflegt. Wir verwenden das Tool, das wir ausliefern, und aktualisieren die Dokumentation, wenn sich das Verhalten ändert.
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