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AI OCR to Markdown

קאָמוניקאַציע־נוץ 380+ מאָדעלס ניט קיין װאַסערמאַפּע ניט נייטיק צו אַרײַנשרײַבן

Drop an image, screenshot, or scan and get back clean Markdown — headings stay headings, tables stay tables, lists stay lists. Powered by our self-hosted Unlimited-OCR model, tuned for layout-aware document parsing rather than a flat text dump. Best for structured pages: papers, invoices, forms, reports.

What it's good for

Tables & forms

Invoices, spec sheets, and reports come back as real Markdown tables instead of a jumbled wall of numbers — paste straight into a doc or a RAG pipeline.

Papers & articles

Headings, sections, and lists keep their structure, so a scanned report becomes editable Markdown you can drop into a docs site or feed to an LLM.

Dense & multilingual

The model is built for dense, complex pages and handles Chinese, English, and more — useful where a plain OCR engine garbles tight layouts.

Plain Text OCR About the model PDF to Markdown װײַז טאַגס

Convert any image, screenshot, or scan into clean Markdown with free AI OCR. Preserves headings, tables, and lists — powered by the self-hosted Unlimited-OCR model.

ווי צו ניצן AI OCR to Markdown

אַרײַנשרײַב װײַטער

אַרײַנשרײַבן טעקסט, אַרײַנשטעלן טעקע, אָדער באַשרײַבן װאָס איר װילט. קײן אױסצושטעלן אױסצושטעלן

קליק צו שאַפֿן

אונזערע קײן־אינפֿאָרמאַציע־פּראָצעסן װײַזן אױס אייער פֿראַגע אין סעקונדעס מיט די בעסטער אָפֿן־קאָר־מאָדלן.

אַרײַנשטעלן & צעטיילן

אַרײַנשטעלן, קאָפּירן אָדער טיילן אייער רעזולטאט. פֿרײַ פֿאַר פּערזענלעכן און קאָממערציעלע ניצן

ניצן דעם מכשיר װײַז

אויטאָמאַטיזיר דעם מכשיר פֿון אייער אייגענעם קאָד. OpenAI-פֿאַרבינדנדיקער REST סוף־פּונקט, װײַזער־טאָקען אױטאָמאַטיזאַציע, ניט נײן צוגעגעבן SDK נײטיק. טוקען קאָסטן זײַנען צוגעפֿירט צום װײַב־צובינד

API דאָקומענטאַציע אַרײַנשטעלן API־שריפֿטצײכן

curl -X POST https://api.free.ai/v1/pdf/extract/ \
  -H "Authorization: Bearer sk-free-..." \
  -H "Content-Type: application/json" \
  -d '{"file": "@document.pdf"}'

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AI OCR to Markdown — FAQ

Upload an image, screenshot, or scan and get back clean Markdown — headings, tables, and lists keep their structure instead of collapsing into a flat text dump. It is powered by Unlimited-OCR, a self-hosted 3B model tuned for layout-aware document parsing, so the output is ready to paste into a docs site, a note app, or an LLM pipeline.

Plain OCR (our /ocr/ tool, Tesseract) gives you the raw words in reading order — great for a quick copy-paste, but tables flatten and headings lose their hierarchy. OCR to Markdown understands the page layout and reconstructs it: a table becomes a Markdown pipe-table, a heading stays a heading, a bullet list stays a list. Use plain OCR for speed, this for structure.

Unlimited-OCR (baidu/Unlimited-OCR), an open MIT-licensed 3B model built on DeepSeek-OCR. We run it on our own GPUs — nothing is sent to a third-party API. It is purpose-built for one-shot document parsing rather than single-line text recognition.

Yes — tables come back as proper Markdown pipe-tables, which is the whole point of using this over plain OCR. Very complex nested or multi-column tables flatten more aggressively (a fundamental Markdown limitation), but standard invoices, spec sheets, and report tables convert cleanly.

It is multilingual with particularly strong Chinese and English support, and handles many other scripts. Accuracy is best on clear, high-resolution pages; very low-resolution or heavily stylized text is harder, as with any OCR.

That tool takes a whole PDF and runs IBM Granite-Docling page by page — best when you already have a multi-page PDF. AI OCR to Markdown takes a single image or screenshot and runs the larger Unlimited-OCR model, which is stronger on dense or complex single pages. Use the PDF tool for documents you have as PDFs; use this for screenshots, photos of pages, and individual scans.

AI OCR to Markdown takes one image (PNG / JPG / WebP) at a time — one page per image. For multi-page PDFs, use /document/pdf-to-markdown/ (whole-PDF Markdown) or /ocr/document/ (searchable-PDF / text). If you only have a PDF page, export or screenshot the page and drop it here.

If you do not want Markdown structure — just the raw text in reading order — pick Plain text. The model then runs in straight-OCR mode and returns the words without headings, tables, or list formatting. Markdown is the default because it is what makes AI OCR to Markdown distinct.

It works on phone photos of paper, but clean, flat, well-lit shots convert best. Glare, heavy skew, and shadows hurt accuracy. If a photo comes out poorly, re-shoot it straight-on with even lighting, or scan at 200+ DPI.

Images are processed on our GPUs and discarded — we do not train on your uploads. We log only a timestamp and token cost for billing, never the document content. Signed-in users get a generation-history entry (a short preview) which you can delete anytime from /account/?tab=history. Privacy policy at /privacy/.

Free in the daily token pool (~800 tokens per page) — no credit card. Your first conversions work without an account; signing up unlocks the full daily pool, history, and access across all of Free.ai's 400+ tools.

Yes. POST multipart to /v1/ocr/ with your image, model=unlimited-ocr, and output_format=markdown (or plain). The response JSON has a text field with the Markdown. Bearer auth, 10K tokens/month free. /api/ has the curl example.

אַרײַנשרײַבן פֿאַר פֿרייַ פֿאַר 30,000 טאַקענס

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ווי וואָלטסטו באַטראַכט דעם מכשיר?

AI OCR to Markdown

What it's good for

Tables & forms

Papers & articles

Dense & multilingual

רעזולטאט

ווי צו ניצן AI OCR to Markdown

אַרײַנשרײַב װײַטער

קליק צו שאַפֿן

אַרײַנשטעלן & צעטיילן

ניצן דעם מכשיר װײַז

פֿאַרבינדטע פֿרײַע AI מכשירים

AI OCR to Markdown — FAQ

What is Free.ai OCR to Markdown?

How is this different from plain OCR?

Which model powers it?

Does it handle tables?

What languages does it support?

How does it compare to /document/pdf-to-markdown/?

Can I upload a PDF?

What is the Plain text option for?

Is it accurate on photographed pages?

Are my uploads stored?

Is it really free? Do I need to sign up?

Is there an API?

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