Skip to content
fileGOD

Imagen a texto (OCR)

Extrae texto de imagenes usando reconocimiento optico de caracteres

Procesado localmente. Los archivos nunca salen de tu dispositivo.
Desarrollado por fileGOD
100% GratisSin registroFunciona sin conexion

Herramientas relacionadas

Como usar Imagen a texto (OCR)

1

Sube una imagen

Add a JPEG, PNG, or WebP image containing text you want to extract.

2

OCR Processing

The Tesseract.js engine loads and analyzes your image to recognize text characters.

3

Copy Extracted Text

Review the extracted text and copy it to your clipboard with un clic.

Por que usar fileGOD?

Navegador-Based OCR

Uses Tesseract.js to perform optical character recognition entirely en tu navegador — sin servidor procesamiento required.

Progress Feedback

A progress bar shows engine loading and recognition stages so you know exactly what is happening.

One-Haz clic Copy

Copy the entire extracted text to your clipboard with a single button click.

Extract text from images using optical character recognition directly en tu navegador. This tool uses the Tesseract.js OCR engine, which runs entirely del lado del cliente — tus imagenes are nunca se suben to any server. Upload a photo of a document, screenshot, sign, or any image containing text, and the tool will recognize and extract the text content. Copy the results to your clipboard with un clic. Ideal for digitizing printed documents, extracting text from screenshots, or reading text from photos.

Preguntas frecuentes sobre Imagen a texto (OCR)

Que languages se soportan?+
The tool currently supports English text recognition. Additional languages may be added in the future.
How accurate is the OCR?+
Accuracy depends on calidad de imagen. Clear, high-contrast text produces excellent results. Handwritten or heavily stylized text may be less accurate.
Does the OCR engine run locally?+
Yes. Tesseract.js downloads a language model to tu navegador and processes everything locally. Tus imagenes are nunca se envian to a server.
How long does recognition take?+
The first run takes longer as the OCR engine loads (~5-10 seconds). Actual recognition depends on image size but typically takes a few seconds.
30+ herramientas gratis · Sin registro · Sin subir archivos · 25 idiomas · Codigo abierto