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Bild in Text umwandeln

OCR im Browser. Screenshot einfügen, Text bekommen. 16 Sprachen, kein Upload, kein Konto.

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100% im Browser, deine Bilder verlassen diesen Tab nie

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.

Free, no signup, 100% browser-side

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

1

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.

2

Set the language

Spanish is the default. Sixteen languages available, each loaded on demand. Getting this right matters more than any other setting.

3

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

FeatureMolixaOnlineOCRi2OCR
Where recognition runsYour browserTheir serverTheir server
Free tierUnlimited15 pages per hour, guestLimited, with ads
Signup requiredNeverFor more than 15 pagesFor batch
Clipboard pasteYes, Ctrl+VNoNo
Batch uploadYes, no count limitPaid plansLimited
Per-word confidenceYes, with on-image highlightingNoNo
Preprocessing controlsGrayscale and Otsu binarizeNoNo
Your file retainedNever leaves the tabPer their retention policyPer 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. 1.Take your screenshot so it is on the clipboard.
  2. 2.Come to this page and press Ctrl+V (Cmd+V on Mac). No need to click anything first.
  3. 3.The language model downloads once, then recognition starts. Watch the progress bar.
  4. 4.Click Copy. The text is on your clipboard.

Get better results from a phone photo

  1. 1.Shoot the page flat and filling the frame. Perspective and curl hurt more than resolution does.
  2. 2.Drop the photo in and set the language to match the text.
  3. 3.If the output looks noisy, switch preprocessing from Grayscale to Binarize. That re-runs recognition automatically.
  4. 4.Check the low-confidence word list before trusting the result.

Convert a batch and get one text file

  1. 1.Select or drag every image at once. They queue up and run in order.
  2. 2.Each file gets its own panel with its own confidence summary.
  3. 3.When two or more are done, a batch bar appears at the top.
  4. 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. 1.After a conversion, look at the three confidence chips: high, medium, low.
  2. 2.The words below the medium threshold are listed underneath with their scores, worst first.
  3. 3.Click Show uncertain regions to draw those words as boxes on the image itself.
  4. 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?
Yes. Unlimited conversions, no signup, no daily cap, no watermark on the output, no page limit. The recognition engine runs inside your browser tab, so there is no per-user cost on our side and nothing to meter. OnlineOCR caps free anonymous users at 15 pages per hour and i2OCR runs the file through its server. Neither restriction applies here.
Where does my image get sent?
Nowhere. The pixels are decoded, preprocessed and recognised inside your tab using a WebAssembly build of Tesseract. Open your browser's network tab while you convert: the only outside request is a one-time download of the language model file from a public CDN; the recognition engine itself is served from this site. Your image is never among them. Close the tab and everything is gone.
Which languages can it read?
16 to start: Spanish, English, French, German, Portuguese, Italian, Catalan, Dutch, Polish, Turkish, Russian, Arabic, Hindi, Japanese, Korean and Simplified Chinese. Each language is a separate model file downloaded on demand and cached, so picking a language you use often costs you the download once. Pick the language before you convert. Reading Spanish text with the English model is the single most common cause of bad output, because accented characters have no home in the English character set.
How accurate is it?
On clean printed text or a screenshot, typically 95 to 99 percent of words come back above 90 percent confidence. On a phone photo of a curved page under uneven light, expect noticeably less. The tool does not hide this from you: every word carries a confidence score, the summary counts how many landed in each band, and the low-confidence words are listed and can be highlighted directly on the image so you know exactly which characters to check rather than proofreading the whole thing.
What does the preprocessing setting do?
Tesseract was trained on clean, high-contrast page scans. Grayscale, the default, converts the image to grey and stretches the contrast so faint or washed-out text reaches the range the model expects. Binarize goes further and applies an Otsu threshold, splitting every pixel into pure ink or pure paper. Binarize is the biggest win on dim phone photos and the biggest risk on anti-aliased screenshot text, which is why it stays opt-in. None passes the pixels straight through and is right for images that are already clean black-on-white.
Can I paste a screenshot instead of uploading a file?
Yes, and it is the fastest path. Take a screenshot, then press Ctrl+V (Cmd+V on Mac) anywhere on the page. The image goes straight into the queue. No temporary file, no file picker, no upload dialog. This is the workflow most people actually want and most OCR sites do not support it.
Can I convert several images at once?
Yes. Drop or paste as many as you like. They are recognised one after another with a live progress bar per file, and each one gets its own text panel, confidence summary and download button. When more than one is finished you also get a single copy-all button and a combined .txt download.
What happens with a very large image?
It gets scaled down so its longest side is at most 3000 pixels before recognition. Above that, the engine slows down super-linearly while accuracy flattens out, because the glyphs are already far larger than the model needs. A 48 megapixel photo would otherwise lock up the tab for minutes for no accuracy gain. The card tells you when an image was scaled.
What if it finds no text?
You get a clear message saying so rather than an empty box. A photo of a wall reliably produces a few stray punctuation marks, and presenting that as a successful extraction would be worse than useless, so a result only counts as text if it contains at least one letter or digit in any script. If you expected text, try switching preprocessing to Binarize, or check that the language matches what is in the image.
Does it work with handwriting?
Not reliably. Tesseract is trained on printed type. Very neat, evenly spaced block capitals sometimes come through; ordinary cursive does not. If you feed it handwriting, watch the confidence numbers. They will tell you honestly that the output is a guess.
Does it work offline?
Not as an installed app. The page needs a connection to load and there is no offline mode, so reloading it without one will fail. Once the page is open and a language has been used, that model is cached and recognition makes no network request at all, so a connection that drops mid-conversion does not stop it.
Can I convert a PDF to text here?
This tool takes images. For a PDF, export or screenshot the pages you need and drop them in as images, or use the PDF summarizer if you want the meaning rather than the raw characters. A native PDF page that already contains a text layer does not need OCR at all: you can select and copy that text directly in any PDF reader.

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.

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Erstellt und geprüft vonMolixa AI, Molixa AI
Zuletzt aktualisiert:

Die 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.