Is this PDF to text converter free?

Yes, 100% free forever. No signup, no premium tier, no daily limit, no per-file charge. Convert as many PDFs as you want, as often as you want. The service is ad-supported so it stays free for everyone.

Do I need an account to convert PDF to text?

No. No signup, no login, no email, no captcha. Open the page, drop your PDF, click convert, done.

Is my PDF uploaded to a server?

No. The entire extraction runs locally in your browser. Your file never leaves your device — there is no server-side copy because we don't have a server for your files.

Can I convert a scanned PDF to text?

Not with this tool alone. We extract the text layer that's already embedded in the PDF. If your PDF is a scan (pure image with no text layer), the extraction will return nothing. Scanned PDFs need OCR — we don't ship OCR on this page because doing it well needs Tesseract.js (2MB+ download) and deserves its own dedicated tool. We're honest about the limit rather than silently returning garbage.

Can I convert multiple PDFs at once?

Yes. Drop as many PDFs as you want. Each becomes its own .txt file named after the source PDF. All downloads appear as individual files on the ready screen — no ZIP.

Which output style should I pick?

Standard (the default) inserts a form-feed character between pages, matching the Unix pdftotext command. Joined strips page breaks and gives you a single flowing text — best for pasting into ChatGPT, Claude, Gemini, or any LLM where extra whitespace confuses the tokenizer. Numbered prefixes every page with '--- Page N ---' so a human reading the .txt can tell where one page ends and the next begins.

How do I feed a PDF to ChatGPT?

Drop your PDF here, pick Joined mode, download the .txt, and paste its contents into your ChatGPT / Claude / Gemini prompt. Joined mode removes the form-feed page breaks so the LLM doesn't waste tokens parsing them. For very long PDFs, consider chunking the text before feeding — most models have an 8K–200K token context window.

Will the extracted text preserve the PDF layout?

Roughly, yes — columns, line breaks, and reading order are preserved when the PDF has a proper text layer. Complex layouts (two-column magazines, table-heavy reports) sometimes interleave oddly; that's a limitation of text extraction from any engine, not just ours. For perfect layout fidelity use PDF to Word instead (our sibling /pdf-to-word.html page).

Is there a file size limit?

No artificial limit. Files up to a few hundred megabytes convert without trouble. Text extraction is much lighter than image conversion, so even a 1000-page PDF usually finishes in seconds on a modern laptop.

Does the output have a watermark?

No. Your .txt is exactly the text from your PDF, nothing added. No watermark, no branding, no 'converted with…' line.

Can I copy text from a PDF this way?

Yes. Drop the PDF, pick Joined mode, click convert, and the .txt contains every word from every page ready to copy anywhere. Much faster than Ctrl+A-ing page by page inside a PDF viewer.

Does it work offline?

Yes, once the page has loaded. The converter runs entirely in your browser so you can disconnect and keep working.

PDF to Text — Pub dawb, Local, LLM-Ready

Extract cov ntawv los ntawm ib lossis ntau PDFs hauv koj tus browser - peb cov qauv tsim tawm, tsis muaj upload, tsis muaj npe

Drop one or more PDFs onto the page. Every file is parsed locally in your browser and returned as a clean .txt — in your choice of three styles: Standard (Unix-style form-feed between pages), Joined (clean flowing text, best for feeding into ChatGPT / Claude / any LLM), or Numbered (each page prefixed with --- Page N --- for easy reading). 100% in-browser — your PDF never leaves your device.

100% Dawb Mus Ib Txhis Tsis Tas Yuav Nkag 100% Ntawm Koj Lub Cuab Yeej Kev Nyab Xeeb Siab

Cov ntaub ntawv yeej tsis tawm hauv koj lub cuab yeej

AES-256 encryption

Peb saib tsis tau koj cov ntaub ntawv

Tsis tas yuav muaj kev sib txuas

Tso koj PDFs ntawm no

los yog

Tsis xav upload. Txhua yam khiav 100% hauv zos hauv koj tus browser.

Yuav ua li cas Hloov ib PDF rau Cov Ntawv Dawb

1. Tso ib los yog ntau dua PDFs

Luag PDFs mus rau qhov chaw poob saum toj no, los yog nyem rau xauj. Txhua cov ntaub ntawv raug tshuaj xyuas hauv zos - tsis muaj dab tsi raug xa mus rau lub server. Ntau cov ntaub ntawv batch tau txais kev txhawb nqa.

2. Xaiv cov qauv tso zis

Standard (default, Unix-style form-feed ntawm nplooj ntawv), Koom nrog (tsis muaj nplooj ntawv so, zoo tagnrho rau ChatGPT / Claude input), los yog Numbered (txhua nplooj ntawv prefixed nrog --- Nplooj N---). Txhua daim npav piav qhia meej tias .txt yuav muaj dab tsi.

3. Hloov

Nyem Hloov rau Cov Ntawv. Txhua nplooj ntawv txheej txheem tau muab rho tawm thiab xa mus rau hauv cov ntaub ntawv UTF-8 .txt. Txawm tias 1000-nplooj PDFs feem ntau ua tiav hauv ob peb feeb.

4. Download tau tus kheej

Lub npov npaj tau teev txhua PDF's .txt raws li nws tus kheej rub tawm. Tsis muaj ZIPs, tsis muaj archives - tsuas yog ntxuav ib cov ntaub ntawv nyees khawm, tib yam li cov compress ntws.

Vim li cas Siv Peb Cov PDF Dawb rau Text Converter?

Free, Forever

Tsis muaj kev sim, tsis muaj paywall zais, tsis muaj ib daim ntawv them nqi, tsis muaj kev txwv txhua hnub. Extract cov ntawv los ntawm ntau PDFs raws li koj xav tau. Cov kev pabcuam tau tshaj tawm yog li nws nyob dawb rau txhua tus.

LLM-Ready in One Click

Xaiv Joined hom thiab cov zis yog pre-formatted rau pasting rau hauv ChatGPT, Claude, Gemini, los yog tej AI nrog ib tug ntawv nyeem. Tsis muaj daim ntawv pub cov cim nkim tokens, tsis muaj kab khib ua rau tsis meej pem cov tokenizer - tsuas yog cov kab lus huv.

Multi-File Batch

Tso 10, 50, 200 PDFs ib zaug. Txhua tus dhau los ua nws tus kheej .txt cov ntaub ntawv muaj npe tom qab lub hauv paus. Zoo meej rau kev tshawb fawb txog kev ua haujlwm, kev tshuaj xyuas ua raws, thiab txhua txoj haujlwm uas xav tau ntawv tawm ntawm ntau cov ntaub ntawv ib zaug.

Cov ntaub ntawv Tsis txhob tso koj lub cuab yeej

Tag nrho cov extraction khiav hauv zos hauv koj tus browser. Koj PDFs tsis kov peb cov servers vim peb tsis muaj rau koj cov ntaub ntawv - peb tsis tuaj yeem pom koj cov ntaub ntawv.

Tsis muaj tus account, Tsis muaj email

Pib rho tawm tam sim ntawd. Tsis muaj npe, tsis muaj email ntes, tsis muaj credit card. Txoj kev desktop software siv los ua haujlwm ua ntej "kev sim dawb".

Tsis Muaj Cov Ntaub Ntawv Loj Cap

Cov ntawv rho tawm yog qhov pheej yig suav - tsis tas yuav tsum tau cap input loj. Ib 2GB PDF nrog 10,000 nplooj ntawv ntawm cov ntawv rho tawm hauv qab ib feeb ntawm lub laptop ib txwm.

Tsis muaj Watermark

Tus .txt tsuas muaj dab tsi nyob hauv PDF. Tsis muaj "hloov nrog ..." header, tsis muaj footer txuas, tsis muaj npe.

Ua haujlwm Offline

Thaum nplooj ntawv no tau loaded koj tuaj yeem txiav tawm ntawm is taws nem thiab lub extractor tseem ua haujlwm. Zoo rau kev zais PDFs koj xav tau txheej txheem yam tsis muaj lub network.

Peb Qhov Kev Tshaj Tawm Tshaj Tawm, piav qhia

Standard - Unix default

Each page's text is followed by a form-feed character (\f, ASCII 12) before the next page begins. This is exactly what the command-line pdftotext utility produces — so anything downstream (Python scripts, awk pipelines, older text editors) treats the output identically. Pick this when you're replacing a pdftotext run.

Koom nrog - rau LLM cov tswv yim

Every page break is removed. Pages are separated by a blank line, not a form-feed. The result is one flowing text — ideal for pasting into ChatGPT / Claude / Gemini / any LLM, because those models don't parse \f usefully and each one of those characters costs a token.

Numbered - rau tib neeg nyeem

Each page is prefixed with --- Page N --- on its own line so you can navigate the .txt in a regular text editor and still see where one page ends and the next begins. Useful for reviewing extracted text manually, or attaching text alongside the original PDF for reference.

Tseem ceeb: Scanned PDFs Xav tau OCR

If your PDF is a scan — pure images of text with no embedded text layer — this converter will return nothing (or very little). We extract the text that's already in the PDF. Converting images of text to text requires OCR (optical character recognition), which needs a 2MB+ library and deserves its own dedicated tool. We're honest about that limit instead of silently running a weak OCR and returning garbage. To test: open your PDF in any viewer and try selecting text with your mouse. If text highlights, this converter will extract it. If the page highlights as one giant image, you need OCR.

PDF Edit vs FreeConvert, PDF2Go, Smallpdf, pdftotext.com

Yam Tshwj Xeeb	PDF Kho kom raug	FreeConvert	PDF2Go	Smallpdf	pdftotext.com
Cov ntaub ntawv upload mus rau neeg rau zaub mov?	No — 100% local	Yog lawm	Yog lawm	Yog lawm	Yog lawm
Multi-file batch?	Unlimited	1pe ib	Them nkaus xwb	Them nkaus xwb	1pe ib
Cov qauv tsim tawm?	3 (Standard / Joined / Numbered)	1	1	1	1
LLM-npaj tso zis?	Yes (Joined)	Tsis muaj	Tsis muaj	Tsis muaj	Tsis muaj
Xav tau Account?	Never	Dawb tier txwv	Dawb tier txwv	Dawb tier txwv	Tsis muaj
Kev txwv ntaub ntawv txhua hnub?	None	5 / hnub	Loj + suav caps	2 / teev	Loj cap
Watermark ntawm qhov tso tawm?	No	Tsis muaj	Tsis muaj	Tsis muaj	Tsis muaj
Ua haujlwm offline tom qab load?	Yes	Tsis muaj	Tsis muaj	Tsis muaj	Tsis muaj

Thaum koj PDFs muaj txhua yam koj xav tsis thoob - cov ntawv sau, cov neeg siv khoom luv luv, cov ntawv sau cia, cov ntaub ntawv tshawb fawb - qhov sib txawv ntawm lub zos nkaus xwb thiab upload-thawj tsis yog ib qho yooj yim feature. Nws yog tag nrho lub suab.

Leej twg hloov PDFs rau ntawv?

Pub PDFs rau ChatGPT / Claude

Txhua LLM muaj cov ntawv sau - tsis yog PDF input. Hloov nrog Joined hom thiab muab tshuaj txhuam .txt rau hauv koj qhov kev ceeb toom. Tokens nyob zoo; tus qauv nyeem koj cov ntaub ntawv yam tsis muaj PDF kav dej hauv txoj kev.

Kev tshawb nrhiav thiab kev tshuaj xyuas kev kawm

Tso 50 phau ntawv journal PDFs ib zaug, hloov lawv tag nrho hauv ib pawg, thiab grep / tshawb nrhiav cov ntawv corpus. Ntau nrawm dua Ctrl + F-ing hauv 50 cais PDF cov neeg saib.

Quote thiab citation

Rub cov nqe lus tshwj xeeb tawm ntawm cov ntawv cog lus, cov ntawv tshaj tawm, lossis cov ntawv siv rau hauv emails, memos, lossis cov ntawv. Kev rho tawm cov ntawv khaws cia cov lus tseeb kom cov ntawv sau cia kom raug.

Cov ntaub ntawv rho tawm thiab tsom xam

Financial statements, lab reports, tabular data — get the text out and feed it into spreadsheets, Python scripts, or data pipelines. Standard mode (with form-feed) cooperates nicely with awk / sed / CSV parsers.

Archiving thiab tshawb nrhiav indexing

Tig ib daim ntawv archive rau hauv cov ntawv nyeem tau. Index cov ntaub ntawv .txt nrog ripgrep, Lunr, Meilisearch, lossis ib lub tshuab tshawb nrhiav puv. PDF-native nrhiav qeeb; kev tshawb nrhiav ntawv yog tam sim no.

Accessibility thiab screen readers

Cov ntaub ntawv huv .txt yog hom nkag tau yooj yim tshaj plaws - txhua tus nyeem ntawv tshuaj ntsuam hais lus lawv ib txwm muaj, tsis muaj PDF cav quirks. Zoo rau kev sib qhia cov ntsiab lus nrog cov neeg nyeem tsis pom kev lossis cov neeg tuaj saib uas nyiam lub suab sib cuam tshuam.

PDF rau Text on Any Device

Peb PDF rau cov ntawv hloov pauv ua haujlwm ntawm txhua lub cuab yeej nrog lub browser niaj hnub - Windows, Mac, Linux, Chromebook, iPad, iPhone, thiab Android. Tsis muaj software rau nruab, tsis muaj plugins xav tau, tsis muaj txoj cai tswj hwm. Thaum nplooj ntawv tau thauj khoom, koj tuaj yeem txiav tawm hauv internet thiab txuas ntxiv rho tawm - txhua yam khiav hauv zos.

Browser-raws li PDF rau Text Extraction ua haujlwm li cas?

Your PDF is parsed page by page inside your browser. Every text item is sorted into reading order (top-to-bottom, left-to-right, respecting columns when possible) and serialised as UTF-8 plain text. Page breaks are inserted as form-feed characters (Standard mode), removed entirely (Joined mode), or replaced with --- Page N --- headers (Numbered mode). No server involved at any step — your PDF stays in device memory the whole time.

Cov lus nug nquag

Yuav ua li cas hloov ib PDF rau ntawv dawb?

Tso koj PDF(s) rau ntawm nplooj ntawv saum toj no, xaiv cov qauv tsim tawm, nyem Hloov rau Cov Ntawv. Txhua PDF dhau los ua nws tus kheej .txt cov ntaub ntawv rub tawm hauv zos.

Cov zis hom twg yog qhov zoo tshaj rau ChatGPT / Claude / LLMs?

Koom nrog. Nws strips nplooj ntawv tawg (uas pov tseg tokens) thiab ua kom huv cov ntawv nyeem tus qauv tuaj yeem nyeem tau raws li cov kab lus ntuj.

Puas yog kuv PDF upload rau lub server?

Tsis yog. Extraction khiav tag nrho hauv koj tus browser. Koj PDF yeej tsis kov peb cov servers - peb tsis muaj rau koj cov ntaub ntawv.

Kuv puas tuaj yeem hloov lub scanned PDF rau ntawv?

Tsis nrog cov cuab yeej no. Peb rho tawm cov ntawv txheej embedded hauv PDF. Scans (cov duab ntawm cov ntawv tsis muaj txheej ntawv) xav tau OCR, uas yog ib lub tsev qiv ntawv cais thiab tsim nyog nws cov cuab yeej. Txhawm rau kuaj: sim xaiv cov ntawv hauv koj tus PDF tus saib - yog tias cov ntawv tseem ceeb, peb yuav rho tawm nws; yog tias nplooj ntawv tseem ceeb ua ib daim duab, koj xav tau OCR.

Kuv puas tuaj yeem hloov ntau PDFs ib zaug?

Yog lawm. Tso ntau npaum li koj xav tau. Txhua tus dhau los ua nws tus kheej .txt cov ntaub ntawv ntawm lub vijtsam npaj txhij - tsis muaj ZIPs, tsis muaj ntawv khaws cia, tsuas yog rub tawm ib tus neeg xwb.

Cov ntawv puas khaws layout?

Kwv yees tias yog - nyeem ntawv xaj, kab tawg, thiab kab ke kab ke yog khaws cia thaumPDFmuaj txheej txheej ntawv zoo. Cov txheej txheem nyuaj (ob kab ntawv xov xwm, cov rooj hnyav) qee zaum cuam tshuam oddly. Rau qhov zoo meej layout fidelity siv/pdf-to-word.htmlhloov.

Puas muaj cov ntaub ntawv loj txwv?

Tsis muaj kev txwv dag. Cov ntawv rho tawm yog pheej yig - txawm tias 2GB PDF nrog kaum tawm txhiab nplooj ntawv feem ntau ua tiav hauv ib feeb ntawm lub laptop niaj hnub.

Puas yog .txt muaj watermark lossis attribution?

Tsis yog. Tsuas yog cov ntawv nyeem ntawm koj PDF, tsis muaj dab tsi ntxiv. Tsis muaj headers, tsis muaj footer txuas, tsis muaj "hloov nrog ..." kab.

Kuv puas xav tau tus account?

Tsis yog. Tsis muaj npe, tsis muaj email, tsis muaj captcha, tsis muaj credit card.

Nws puas ua haujlwm offline?

Yog, thaum nplooj ntawv tau loaded. Txhua yam khiav hauv koj lub browser - txiav tawm thiab khaws cia.

Last updated: 2026-05-13

About this tool: PDF Edit is built by a small independent team who were tired of online tools uploading user files to servers they didn't control. Everything here runs in your browser — your PDF stays on your device, there's no size limit, no signup, and no watermark on the text output. Three output styles (Standard / Joined / Numbered) give you the format you actually need. Free forever, ad-supported. Reach out via the footer links with bugs or feature requests.

Koj cov ntawv nyeem tau npaj txhij!

✏️ Kho Cov Ntawv 📦 Zaiv 📝 PDF rau Word 🔄 PDF mus rau JPG

I don't like greed — or that we've lost privacy and ownership over our own tools. So I'm building software to combat this. No hidden accounts, no data mining, no paywalls. Just software that does what it has to.

Your extraction happened in this tab. Tsis nyob qhov twg.

100% ua haujlwm hauv zos

Txhua lwm online PDF-rau-ntawv converter uploads koj cov ntaub ntawv, parses nws server-sab, thiab muab koj ib tug download link. Peb khiav tag nrho hauv qhov browser tab - koj PDF nyob twj ywm hauv lub cim xeeb txhua lub sijhawm. Tsis muaj server-sab luam vim peb tsis muaj server rau koj cov ntaub ntawv.

Tsis muaj sim, tsis muaj dag, tsis muaj phom

Dawb mus ib txhis, txhawb nqa los ntawm kev tshaj tawm. Tsis muaj account, tsis muaj kev ntes email, tsis muaj credit card, tsis muaj dej cim ntawm cov tawm. Yam koj siv yog txhua yam peb muab.

Ua haujlwm offline, ua haujlwm txhua qhov

Thaum lub nplooj ntawv no tau nkag lawm koj tuaj yeem txiav internet thiab lub sib txuas tseem ua haujlwm. Windows, Mac, Linux, Chromebook, iPad, Android — txhua lub browser tshiab. Tsis txhob nruab, tsis txhob plug-in, tsis xav tau tus tswj cai.

Tsis muaj account
Tsis muaj upload
Tsis muaj dej cim
Tsis muaj txwv
Tsis muaj haujlwm rho ntaub ntawv
100% ntiag tug
Ua haujlwm offline
Tsis txhob sau npe ib zaug li

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