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Image OCR

Traitement local

Image OCR permet de inspecter des données dans le navigateur et présente clairement le résultat et ses limites. Cette page contient un exemple réel d’entrée et de sortie, les limites d’implémentation et les sources primaires de cet outil.

Vérifié · Mis à jour · Gratuit · Sans compte

PNG/JPEG/WebP, up to 10 MiB. Desktop: 8 megapixels; touch devices: 4 megapixels. Crop percentages apply after rotation. The preview is the exact image sent to the local engine.

Recognition area

Drop one image here, choose a local file, or load a sample.

First use downloads about 4.3 MiB for English or 5.9 MiB for both languages (compression reference). Engines and models come from this site; images and recognized text are not uploaded. Only models may be cached. Review the text: confidence is not an accuracy guarantee.

Choose an image. The engine loads only when you start recognition.

Que fait Image OCR ?

Image OCR permet de inspecter des données dans le navigateur et présente clairement le résultat et ses limites. Fonctions vérifiées : English and Simplified Chinese models, Rotation and percentage crop, Editable text and TXT export, Local model cache and hard cancellation.

When should you use this tool?

Use image OCR for printed text in screenshots, labels and clear scans. Use PDF Text Extractor for text already embedded in a PDF; this image tool does not rasterize PDFs. Use Image Resizer before recognition when a photo exceeds the pixel budget.

Comment l’utiliser ?

  1. Open one PNG, JPEG or WebP image up to 10 MiB, or load the sample for the selected language.
  2. Choose the language, rotation and crop. Check the exact recognition preview, then select Recognize text.
  3. Review and correct the result, then copy or download TXT. Clear the workspace or model cache when needed.

Exemple réel d’entrée et de sortie

Recognize a clear English label

Entrée

A white image with black printed text:
LOCAL OCR 12345
Browser tools stay local

Sortie

LOCAL OCR 12345
Browser tools stay local

The sample uses large, horizontal printed text. This is a worked example, not a guarantee for photographs, handwriting or complex layouts. The selected image is processed locally.

Erreurs fréquentes et corrections

SymptômeCause probableCorrection
No text or incorrect characters appear.Small print, blur, skew, complex backgrounds or the wrong language make recognition less reliable.Choose the matching language, rotate the image to horizontal text and crop tightly around a clear text block. Review the output manually.
The image or engine cannot be loaded.The image is unsupported, exceeds file/pixel limits, or static engine downloads fail.Use PNG/JPEG/WebP and resize first if needed. Check the connection and retry loading; a blocked model cache does not require uploading the image.

Supported behavior and limitations

Limite propre à cet outil : Single image, 10 MiB maximum. Pixel cap: 8 million on desktop and 4 million on devices with a coarse pointer. Crop is specified in percentages after rotation. Recognition stops after 90 seconds. No PDF input, handwriting guarantee, table reconstruction, camera capture or parallel batch OCR. Engine confidence is not verified accuracy. Only engine/model resources may be cached; images and text are not saved by this tool. English cold loading is about 4.3 MiB and combined English/Chinese about 5.9 MiB by gzip reference, not a speed or memory guarantee.

Normes et références d’implémentation

Image OCR — FAQ

Is my input uploaded?

No. Processing happens in a browser Worker. Engine files load from this website; tool input, output, and filenames are not sent to a processing API.

Do I need an account or API key?

No account, API key, or backend processing service is needed.

How do I save a result?

Review the result, then use the Copy or Download control available for that output. Modifying input clears stale results.

What are the limits?

Single image, 10 MiB maximum. Pixel cap: 8 million on desktop and 4 million on devices with a coarse pointer. Crop is specified in percentages after rotation. Recognition stops after 90 seconds. No PDF input, handwriting guarantee, table reconstruction, camera capture or parallel batch OCR. Engine confidence is not verified accuracy. Only engine/model resources may be cached; images and text are not saved by this tool. English cold loading is about 4.3 MiB and combined English/Chinese about 5.9 MiB by gzip reference, not a speed or memory guarantee.

Quelles modifications ?

Mise à jour substantielle : Image OCR: Added local processing, explicit size limits, cancellation, worked examples, error explanations, and downloadable results.

Qui maintient cet outil ?

KL
KitLumi EngineeringKitLumi Engineering maintient le comportement, les tests, les exemples et les informations de confidentialité.