“OCR”

Online OCR that extracts text from images and scans or builds searchable PDFs.

Make scanned PDFs searchable using in-browser OCR.

OCRs a scanned PDF and returns the recognised text.

Demo of JavaScript OCR that reads text from images in many languages.

Extracts text from document images using several OCR models, including MonkeyOCR.

Reads text and layout from document images with the dots.ocr model.

General OCR model that reads text, tables, formulas and sheet music from images.

Tiny ONNX OCR model that converts PDFs and images into markdown.

Reads text from images with a choice of OCR models, including olmOCR and Qwen2-VL-OCR.

Runs the DeepSeek-OCR-2 model on PDFs or images to read the text they contain.

Extracts text and images from PDFs or images with the Mistral OCR API; needs your Mistral key.

Extracts text from long or dense document images with Baidu OCR models.

Recognizes text and structure in documents with FireRed-OCR.

Compare several OCR engines side by side on one image, with optional preprocessing.

Convert images and scanned PDFs to Word, Excel or text; guests have hourly limits.

Extract text from complex documents and images with a multimodal OCR model.

Detects and reads text in images using OnnxTR.

Classic Tesseract OCR: upload an image and get the recognized text.

Recognizes Japanese text in manga panels.

Parses digital and photographed documents into markdown.

Recognize text in scanned PDFs to make them searchable.

Scene-text recognition using the PARSeq model.

Make scanned PDFs searchable using OCR.

NVIDIA's OCR model extracting text from images.