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AI Vision · Credits Required

AI Extract Table from Image

Upload any image containing one or more tables — screenshot, scan, or photo — and get all the data as Markdown, CSV, or JSON in seconds.

Upload Image with Table

Drop image here or click to browse

Screenshot, photo, or scan · JPG, PNG, WebP · max 10 MB

Paste directly into docs, Notion, GitHub, or any Markdown editor.

What this tool extracts

📊Tables in screenshots, photos, PDFs rendered as images, and scanned documents
📋Spreadsheet screenshots — paste into Excel or Google Sheets via CSV
📄HTML, Word, or printed tables captured in any image format
🔢Every row and column preserved exactly — empty cells kept as empty
⬇️Download as .csv, .md, or .json — or copy directly to clipboard

How it works

  1. 1

    Upload the image

    Drop or select any image containing a table — screenshot, spreadsheet photo, scanned document, or PDF page.

  2. 2

    Choose output format

    Pick Markdown for docs and Notion, CSV for spreadsheets, or JSON for code and APIs.

  3. 3

    Copy or download

    The extracted data streams in seconds. Copy to clipboard or download directly as a file.

Why use an AI table extractor?

  • Any table, any image

    Works with screenshots, printed tables, spreadsheet photos, scanned PDFs, and HTML table captures.

  • Three output formats

    Markdown for docs (## labelled sections), CSV for spreadsheets (# labelled blocks), JSON for developers (keyed object — valid regardless of table count).

  • Direct download

    Download the result as .md, .csv, or .json with one click — no copy-paste required.

  • Multiple tables per image

    All tables in the image are extracted in one pass — each labelled and separated so you never lose track of which data came from where.

  • Streams in seconds

    Results begin appearing almost immediately — no batch wait for large or complex tables.

  • Honest about failures

    If no table is found, the tool says so — it never fabricates data to fill the output.

Who uses a table extractor?

Anyone who needs to get data out of an image and into a usable format.

📊

Data analysts

Extract tables from PDF reports, dashboard screenshots, or research papers — import directly into Excel, Python, or BI tools without manual re-entry.

🧑‍💻

Developers

Turn table screenshots from documentation, emails, or wikis into JSON — paste directly into your code, API, or database migration script.

📝

Content writers & editors

Copy tables from screenshots into Markdown-based docs, blog posts, or GitHub READMEs without rebuilding the table from scratch.

🎓

Researchers & students

Extract data from scanned journal articles, printed reports, or photographed textbook tables for analysis or citation.

🏢

Operations & admin teams

Digitise paper forms, printed price lists, inventory tables, or approval matrices from scanned documents into editable spreadsheets.

📱

Social media & marketing

Capture competitor pricing tables or comparison charts from screenshots and convert them into editable data for your own analysis.

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Frequently asked questions

Do I need an account to use this tool?
Yes — a signed-in account is required because the extraction runs on our servers and uses credits.
What types of images work best?
Clear screenshots work best. The AI also handles printed documents, spreadsheet photos, PDF pages rendered as images, and scanned tables. Blurry or low-contrast images may produce less accurate results.
What image formats are accepted?
JPG, PNG, WebP, GIF, and TIFF images up to 10 MB.
What are the three output formats?
Markdown produces labelled ## heading sections with pipe-formatted tables — paste into Notion, GitHub, docs, or any Markdown editor. CSV separates each table with a blank line and a # comment label, ready to import into Excel or Google Sheets. JSON produces a single object where each key is the table label (e.g. "Table 1", "Table 2") and each value is an array of row objects — valid JSON regardless of how many tables are in the image.
Can it handle multiple tables in one image?
Yes — all tables in the image are extracted in one pass. For Markdown each gets a ## Table 1 / ## Table 2 heading. For CSV each is separated by a blank line with a # label. For JSON all tables are combined into a single valid JSON object keyed by table label, so the output is always parseable.
What happens if no table is found?
The output will say "[No table detected in this image]" rather than generating incorrect data.
Can I download the extracted data?
Yes — use the Download button to save the output as a .csv, .md, or .json file directly from the results panel.