Read text from images
Unofficial demo for TB-OCR (OCR for documents)
Extract text from documents using images
Convert images of text into editable text
Give it a pdf and it'll extract the text
Extract text and search keywords from images
Extract and correct text from images
Convert scanned images to text
Extract text from single-line Kurdish images
Extract text from a PDF file
Convert images to LaTeX code
Demo of GOT-OCR 2.0's Transformers implementation
Extract text from images
Trocr Scene Text Recognition is an OCR (Optical Character Recognition) tool designed to extract text from images, particularly focusing on scene text. It leverages advanced AI technologies to accurately recognize and interpret text within complex, real-world images, such as street signs, billboards, or handwritten notes in photos. Its primary goal is to convert visual text into editable digital text, enabling users to work with the extracted data seamlessly.
1. What languages does Trocr Scene Text Recognition support?
Trocr supports a wide range of languages, including English, Spanish, French, Chinese, and many others. For a full list, refer to the official documentation.
2. How accurate is Trocr Scene Text Recognition?
Accuracy depends on the quality of the input image. Clear, well-lit images with legible text yield the best results. Blurred or distorted images may affect recognition accuracy.
3. Can I integrate Trocr into my own application?
Yes, Trocr provides APIs for developers to integrate text recognition capabilities into their custom applications. Contact support for detailed documentation and access.