AI vs. Local Table Recognition: Choosing with Real Examples
See real table images and OCR results to learn when local recognition is enough and when to choose AI Image to Table for complex layouts.
Browser-local processing / Free to use
Recognize table from JPG, PNG, WebP, GIF, BMP, AVIF, or TIFF images. It runs in your browser without uploading the image.
Choose an image or drag and drop
JPG, PNG, WebP, GIF, BMP, AVIF or TIFF • Up to 10 MB • 8192 × 8192 px • First animation frame, TIFF page, or AVIF image
Your table editor is ready
Upload a table image above. You can edit every recognized cell before exporting.
Choose a format, then copy or download.
No table to export yet
Upload an image and review the recognized table. Your Markdown output will appear here automatically.
Input tip: Use a straight, high-resolution crop with the complete table visible. Clear cell boundaries, strong contrast, and minimal background detail produce the best structure.
Documentation
See real table images and OCR results to learn when local recognition is enough and when to choose AI Image to Table for complex layouts.
How imgtotable uses HunyuanOCR to generate HTML from a table image, then rebuilds editable cells and merged headers for spreadsheet export.
Learn how browser-local table recognition uses text detection, structure prediction, and spatial matching to turn table screenshots into Excel grids.
Learn how to extract tables from sensitive images directly inside your browser without uploading files to external cloud servers.
Understand PP-OCRv6, the difference between text detection and recognition, and how lightweight AI models power browser-local OCR.
Choose AI or local table recognition, check rows and values, and export a table screenshot to Excel, CSV, or Markdown.