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 ho Mongolo - Mahala, Lehae, LLM-Ready

Ntša mongolo ho tsoa ho PDFs e le 'ngoe kapa tse ngata ho sebatli sa hau - mefuta e meraro ea tlhahiso, ha ho upload, ha ho ngolisoe

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% Mahala ka ho sa feleng Ha ho akhaonto e hlokahalang 100% Sebaka sa hao Tshireletso ya Sesole

Difaele ha di tlohe sebaka sa hao

Tshireletso ya AES-256

Ha re kgone ho bona ditokomane tsa hao

Ho ha ho hlokahale tlholano

Lahlela li-PDFs tsa hau mona

kapa

Ha ho hlokahale ho kenya. Ntho e ngoe le e ngoe e sebetsa 100% sebakeng sa hau sa marang-rang.

Mokhoa oa ho Fetolela PDF ho Sengoloa Mahala

1. Lahlela PDFs e le 'ngoe kapa ho feta

Hulela PDFs sebakeng sa marotholi ka holimo, kapa tobetsa ho sheba. Faele e 'ngoe le e' ngoe e hlahlojoa sebakeng sa heno - ha ho letho le kentsoeng ho seva. Li-batch tsa lifaele tse ngata lia tšehetsoa.

2. Khetha mokhoa oa tlhahiso

E tloaelehileng (ea kamehla, mofuta oa Unix-fepelo lipakeng tsa maqephe), E kopantsoe (ha ho na ho khaoha ha maqephe, e loketseng ho kenya ChatGPT / Claude), kapa Nomoro (leqephe le leng le le leng le ngotsoe ka --- Leqephe N ---). Karete ka 'ngoe e hlalosa hantle hore na .txt e tla ba le eng.

3. Fetola

Tobetsa Fetolela ho Mongolo. Sengoliloeng sa leqephe le leng le le leng se ntšoa 'me se behiloe faeleng e hlakileng ea UTF-8 .txt. Esita le li-PDF tsa maqephe a 1000 hangata li qeta ka metsotsoana e seng mekae.

4. Khoasolla ka bomong

Skrine se itokisitseng se thathamisa PDF's .txt e 'ngoe le e 'ngoe e le mokhoa oa eona oa ho jarolla. Ha ho li-ZIP, ha ho li-archives - hloekisa feela likonopo tsa faele ka 'ngoe, sebopeho se ts'oanang le phallo ea compress.

Hobaneng U Sebelisa PDF ea Rōna ea Mahala ho Sefetoleli sa Sengoloa?

Kannete Ho Lokolohile, Ka ho sa Feleng

Ha ho na teko, ha ho paywall e patiloeng, ha ho tefiso ea faele ka 'ngoe, ha ho na moeli oa mosebetsi oa letsatsi le letsatsi. Ntša mongolo ho tsoa ho li-PDF tse ngata kamoo u batlang. Ts'ebeletso e tšehelitsoe ke lipapatso kahoo e lula e sa lefelloe bakeng sa motho e mong le e mong.

LLM-Ready in One Click

Khetha Mokhoa o Kopantsoeng 'me tlhahiso e hlophisitsoe esale pele bakeng sa ho manamisoa ho ChatGPT, Claude, Gemini, kapa AI efe kapa efe e nang le mongolo. Ha ho na litlhaku tse feptjoang tse senyang li-tokens, ha ho na likheo tse sa tloaelehang tse ferekanyang tokenizer - lirapa tse hloekileng feela.

Sehlopha sa Lifaele tse ngata

Lahlela 10, 50, 200 PDFs hang. E 'ngoe le e' ngoe e fetoha faele ea eona ea .txt e reheletsoeng ka mohloli. E nepahetse bakeng sa phallo ea mosebetsi oa lipatlisiso, litlhahlobo tsa ho latela melao, le mosebetsi ofe kapa ofe o hlokang mongolo ho tsoa litokomaneng tse ngata hang.

Le ka mohla Lifaele ha li Tlohe Sesebediswa sa Hao

Tsohle tse nkiloeng li sebetsa sebakeng sa heno ho sebatli sa hau. Li-PDFs tsa hau ha li ame li-server tsa rona hobane ha re na letho bakeng sa lifaele tsa hau - ha re khone ho bona litokomane tsa hau.

Ha ho Ak'haonte, Ha ho Imeile

Qala ho hula hang-hang. Ha ho ngolisoe, ha ho na lengolo-tsoibila, ha ho karete ea mokoloto. Tsela eo software ea komporo e neng e sebetsa ka eona pele ho "liteko tsa mahala".

Ha ho File Size Cap

Ho ntšoa ha mongolo ke komporo e theko e tlase - ha ho na tlhoko ea ho eketsa boholo ba mongolo. 2GB PDF e nang le maqephe a 10,000 a mantsoe a qotsitsoeng ka nako e ka tlase ho motsotso ho laptop e tloaelehileng.

Ha ho na Watermark

The .txt e na le feela se neng se le ho PDF. Ha ho "fetoloa ka ..." hlooho, ha ho sehokelo sa botlaaseng, ha ho lebitso.

E sebetsa Offline

Hang ha leqephe lena le kentsoe, o ka khaola marang-rang mme mochini o ntšang motlakase o ntse o sebetsa. E nepahetse bakeng sa li-PDFs tsa lekunutu tseo u ka ratang ho li sebetsa ntle le marang-rang.

Ho Hlalositsoe Mekhoa e Meraro ea Liphetho

Standard — ea kamehla ea Unix

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.

E kenelletse — bakeng sa ho kenya LLM

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.

Nomoro - bakeng sa ho balloa ke batho

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.

Bohlokoa: Li-PDF tse hlahlobiloeng li Hloka 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

Sesebelisao	PDF Edita	FreeConvert	PDF2Go	Smallpdf	pdftotext.com
Lifaele tse entsweng ho seva?	No — 100% local	Ee	Ee	Ee	Ee
Sehlopha sa lifaele tse ngata?	Unlimited	1 ka nako	E lefelloa feela	E lefelloa feela	1 ka nako
Mekhoa ea tlhahiso?	3 (Standard / Joined / Numbered)	1	1	1	1
Sephetho se lokiselitsoeng ho LLM?	Yes (Joined)	Che	Che	Che	Che
Akhaonto e hlokahala?	Never	Boemo ba mahala bo lekanyelitsoe	Boemo ba mahala bo lekanyelitsoe	Boemo ba mahala bo lekanyelitsoe	Che
Moeli oa faele ya letsatsi?	None	5 / hora	Molapo wa boholo le palo	2 / hora	Size cap
Watermark ka output?	No	Che	Che	Che	Che
E sebetsa offline ka morago ha ho hloniloeng?	Yes	Che	Che	Che	Che

Ha li-PDFs tsa hau li na le eng kapa eng eo u sa batleng ho e phatlalatsa - lingoloa, lintlha tsa bareki, memos ea kahare, lintlha tsa lipatlisiso - phapang lipakeng tsa lehae feela le upload-pele ha se karolo e bonolo. Ke lentsoe lohle.

Ke Mang ea Fetolelang PDFs ho Sengoloa?

Ho fepa PDFs ho ChatGPT / Claude

LLM e 'ngoe le e 'ngoe e na le mongolo - eseng PDF. Fetolela ka Joined mode ebe u beha .txt molaetsa oa hau. Li-tokens li lula li sebetsa hantle; mohlala o bala tokomane ea hau ntle le lipeipi tsa PDF tseleng.

Lipatlisiso le tlhahlobo ea thuto

Lahlela 50 koranta PDFs hang-hang, u li fetole kaofela ka beche e le 'ngoe, 'me u grep / u batlisise mongolo. E lebelo haholo ho feta Ctrl+F-ing ka har'a bashebelli ba 50 ba arohaneng ba PDF.

Ho qotsa le ho qotsa

Hlakola litemana tse itseng ho tsoa likonteraka, litlaleho, kapa lipampiri tse sebelisoang ho li-imeile, memo kapa lingoliloeng. Ho qotsa mongolo ho boloka mantsoe a nepahetseng hore mantsoe a qotsitsoeng a lule a nepahetse.

Ho ntšoa ha data le tlhahlobo

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.

Ho boloka le ho batla indexing

Fetolela polokelo ea litokomane hore e be mongolo o ka phenyekolloang. Hlahisa lifaele tsa .txt ka ripgrep, Lunr, Meilisearch, kapa mochine ofe kapa ofe oa ho batla oa mongolo o felletseng. PDF-native search e lieha; ho batla mongolo ho hang.

Ho fihlella le ho bala skrineng

Hloekileng lifaele tsa .txt ke mokhoa o fumanehang ka ho fetisisa - 'mali e mong le e mong oa skrine o li bua ka tlhaho, ha ho na li-quirks tsa enjine ea PDF. E ntle bakeng sa ho arolelana litaba le babali ba sa boneng hantle kapa bamameli ba ratang lihokelo tsa lentsoe.

PDF ho mongolo ho sesebelisoa sefe kapa sefe

PDF ea rona ea ho fetolela mongolo e sebetsa sesebelisoa sefe kapa sefe se nang le sebatli sa sejoale-joale - Windows, Mac, Linux, Chromebook, iPad, iPhone, le Android. Ha ho software ea ho kenya, ha ho li-plugins tse hlokahalang, ha ho na litokelo tsa admin tse hlokahalang. Hang ha leqephe le kentsoe, u ka itokolla inthaneteng 'me ua tsoela pele ho ntša - ntho e 'ngoe le e 'ngoe e sebetsa sebakeng sa heno.

PDF ea Sebatli e Thehiloeng ho Sengoloa e sebetsa Joang?

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.

Lipotso Tse Botsoang Hangata

Nka fetolela PDF joang ho mongolo mahala?

Lahlela li-PDF (s) tsa hau leqepheng le kaholimo, khetha mokhoa oa tlhahiso, tobetsa Fetolela ho Sengoloa. E 'ngoe le e 'ngoe ea PDF e fetoha faele ea eona ea .txt e jarollotsoeng sebakeng sa heno.

Ke mokhoa ofe oa tlhahiso o loketseng ChatGPT / Claude / LLMs?

Kenyelletse. E hlobola likhechana tsa maqephe (ke li-tokens life) 'me e hlahisa mongolo o hloekileng oo mohlala o ka o balang e le lirapa tsa tlhaho.

Na PDF eaka e kentsoe ho seva?

Che. Tlhahiso e sebetsa ka botlalo ho sebatli sa hau. Ha ho mohla PDF ea hau e amang li-server tsa rona - ha re na letho bakeng sa lifaele tsa hau.

A na nka fetolela PDF e hlahlobiloeng hore e be mongolo?

Eseng ka sesebelisoa sena. Re ntša moalo oa mongolo o kentsoeng ho PDF. Lits'oants'o (litšoantšo tsa mongolo o se nang mongolo) li hloka OCR, e leng laeborari e arohaneng mme e loketsoe ke sesebelisoa sa eona. Ho etsa liteko: leka ho khetha mongolo ho PDF viewer ea hau - haeba mongolo o tobane le lintlha, re tla o ntša; haeba leqephe le totobatsa e le setšoantšo se le seng, o hloka OCR.

A na nka fetolela li-PDF tse ngata ka nako e le 'ngoe?

Ee. Lahla tse ngata kamoo u batlang. E 'ngoe le e 'ngoe e fetoha faele ea eona ea .txt skrineng se seng se lokile — ha ho li-ZIP, ha ho li-archives, ho jarolla feela ka bomong.

Na mongolo o boloka sebopeho?

Hoo e ka bang e, - tatellano ea ho bala, likheo tsa mela, le sebopeho sa kholomo li bolokiloe ha PDF e na le lera le nepahetseng la mongolo. Mehaho e rarahaneng (limakasine tsa likholomo tse peli, litafole tse boima) ka linako tse ling li kena ka tsela e sa tloaelehang. Bakeng sa sebopeho se phethahetseng, sebelisa /pdf-to-word.html.

Ho na le moeli oa boholo ba faele?

Ha ho moeli oa maiketsetso. Ho ntša mongolo ho theko e tlaase - esita le 2GB PDF e nang le maqephe a likete tse mashome hangata e qetella ka nako e ka tlaase ho motsotso ho laptop ea morao-rao.

Na .txt e na le watermark kapa tlhaloso?

Che. Ke mongolo o tsoang ho PDF ea hau feela, ha ho letho le ekelitsoeng. Ha ho lihlooho, ha ho lihokelo tse botlaaseng ba leqephe, ha ho mola "o fetotsoeng ka ...".

Ke hloka ak'haonte?

Che. Ha ho ngoliso, ha ho lengolo-tsoibila, ha ho captcha, ha ho karete ea mokoloto.

E sebetsa ntle le inthanete?

E, hang ha leqephe le kentsoe. Tsohle li sebetsa ho sebatli sa hau - khaola 'me u tsoele pele ho ntša.

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.

Lifaele tsa hau tsa mongolo li se li lokile!

✏️ Lokisa Sengoloa 📦 Hatella 📝 PDF ho Word 🔄 PDF ho 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. Eseng le ha e le moo.

Tshebetso ya 100% ya lehae

Sefetoleli se seng le se seng sa marang-rang sa PDF-to-text se kenya faele ea hau, se e arole ka lehlakoreng la seva, ebe se u fa sehokelo sa khoaso. Re sebetsa ka har'a tab ena ea sebatli - PDF ea hau e lula mohopolong oa sesebelisoa ka nako eohle. Ha ho kopi ea lehlakore la seva hobane ha re na seva bakeng sa lifaele tsa hau.

Ha ho liteko, ha ho maano, ha ho molelekisi

Mahala ka ho ya phakela, e tsheheditswe ke lipapatso. Ha ho akhaonto, ha ho thibelo ya imeile, ha ho karete ya mokitlane faeleng, ha ho letshwao la metsi phuthellong, ha ho lebota la "ntlafatsa ho bula" hara phallo. Se o sa kang o sebedisa ke tsohle re di romellang.

E sebetsa offline, e sebetsa hohle

Ha leqephe lena le se le laotse o ka kgaola marang-rang mme merger e ntse e sebetsa. Windows, Mac, Linux, Chromebook, iPad, Android — brawusa efe kapa efe ea mehleng. Ha ho ho kenya, ha ho plugin, ha ho litokelo tsa admin.

Ha ho akhaonto
Ha ho ho kenya
Ha ho letshwao la metsi
Ha ho molapo wa faele
Ha ho ho phutha data
100% ea lekunutu
E sebetsa offline
Ha ho ho ingolisa le neng le neng

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