PDF to Text Converter (OCR)
PDF to text for digital and scanned files, one page or a hundred. Every page is rendered in the workspace, and each extracted line points back to its exact spot — so when a number looks wrong you land on it directly, not on a text dump. Clean text, structured Markdown or real tables on the way out.
How it works
- 1
Upload the PDF — scans and photographed pages work the same as digital files.
- 2
The parser extracts text, headings, tables and formulas page by page.
- 3
Check the result against the rendered pages, correct inline, then export as text, Markdown, Word or JSON.
Why OhMyOCR
Scanned PDFs welcome
OCR runs on scanned and photographed pages, not just born-digital text layers.
Page-level visual matching
Each page is rendered in the workspace with boxes over every detected block — click a result line and jump straight to it.
Structure, not just text
Headings, paragraphs, tables, headers/footers and formulas arrive as separate blocks you can filter, edit and export.
Translate or export anywhere
Translate selected blocks or the full result, then export TXT, Markdown, Word, Excel/CSV, HTML, LaTeX, JSON with coordinates or PDF.
Not every PDF has text in it — and some only partly
The word “PDF” covers two very different things. Born-digital PDFs carry a real text layer; extracting it is mostly a formatting problem. Scanned PDFs are photographs of paper — there is no text to copy until OCR creates it. The trap is the hybrid: a contract whose body is digital but whose signed amendment pages are scans, or a report with photographed appendix tables. Tools that only read the text layer silently return nothing for those pages.
OhMyOCR treats every page the same way — render, recognize, rebuild as structured blocks — so digital, scanned and mixed PDFs all come back complete, and you never wonder which pages a tool silently skipped. Each block records its page number and position; the built-in pager renders every page, so any paragraph can be checked against the original.
A 100-page report without losing your place
Long documents fail differently than single images. The OCR is usually fine; the bottleneck is reviewing the output. A flat text dump of a 100-page report is unusable — you cannot tell where a number came from or whether a table row slipped, and nobody reads a hundred pages of plain text to find out.
Structure is what keeps review tractable. Instead of one flat dump, the result arrives as separate blocks — headings, paragraphs, tables, headers/footers, formulas — each filterable, each linkable to the page. Jump straight to every table, drop page furniture from the export, click a suspicious line and land on its exact spot on the rendered page. The export can be TXT, Markdown, Word or Excel — or JSON with coordinates if it is feeding a pipeline.
Frequently asked questions
Can it convert a scanned PDF to text?
Yes. Scanned pages go through OCR exactly like images, and each page is rendered in the workspace so you can compare the extraction side by side with the original.
Does it handle multi-page PDFs?
Yes. Pages process in order, and every extracted block records its page number; the built-in pager jumps you to any page.
Are tables inside the PDF preserved?
Yes. Tables are detected as structured blocks — export them to Excel (.xlsx) or CSV, or edit them cell by cell before you export.
Is the PDF to text converter free?
New accounts get free credits, no credit card required; paid plans cover larger volumes.
What is the difference between PDF to text and PDF OCR?
Born-digital PDFs have the text already — it just needs extracting. Scans are pictures of pages, so OCR recognizes the text from the image. OhMyOCR picks the right path automatically; you only upload the file.
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Try it on your own file
Free to start, no credit card, results you can verify line by line.
Get started — free