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 ki Kuputuhi — Koreutu, Paetata, LLM-Reri

Tango kupu mai i te kotahi, maha ranei PDFs i to kaitirotiro — e toru nga momo putanga, kaore he tukunga ake, kaore he hainatanga

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% Korekore mo ake tonu atu Kaore he putea e hiahiatia ana 100% I runga i to Pūrere Whakamuna Whakamuna Hoia

Ko nga konae kaore e waiho i to taputapu

AES-256 whakamunatanga

Kaore matou e kite i o tuhinga

Kaore he hononga e hiahiatia ana

Whakatakahia to PDFs ki konei

rānei

Kaore he tukunga e hiahiatia ana. Ka haere nga mea katoa 100% a rohe i roto i to kaitirotiro.

Me pehea te huri i te PDF ki te Kuputuhi mo te kore utu

1. Whakataka kia kotahi, neke atu ranei PDFs

Tōia PDFs ki runga i te rohe taka i runga, ka paato ranei ki te tirotiro. Ka tātarihia nga konae katoa i te rohe - kaore he mea ka tukuna ki te tūmau. Ka tautokohia nga puranga maha-kōnae.

2. Tīpakohia he kāhua whakaputa

Paerewa (taunoa, Unix-style form-feed i waenganui i nga wharangi), Honoa (kaore he wharangi whawhati, he pai mo te urunga ChatGPT / Claude), he Tau ranei (ia wharangi kua tohua ki mua ki te --- Whārangi N ---). Ka whakamāramahia e ia kaari he aha kei roto i te .txt.

3. Tahuri

Pāwhiritia Tahuri ki Kuputuhi. Ka tangohia nga paparanga kuputuhi o ia wharangi ka rere ki roto i te konae UTF-8 .txt. Ahakoa 1000-page PDFs te tikanga ka mutu i roto i etahi hēkona.

4. Tikiake takitahi

Ko te mata reri e whakaatu ana i ia PDF .txt hei tango ake. Karekau he ZIP, karekau he puranga - ma noa nga paatene mo ia-kōnae, he rite te ahua ki te rere o te kopeke.

He aha te whakamahi i ta maatau PDF koreutu ki te kaitahuri Kuputuhi?

Tino Whakakore, mo ake tonu atu

Kaore he whakamatautau, kaore he putea utu huna, kaore he utu mo ia-kōnae, kaore he rohe mahi o ia ra. Tangohia te kuputuhi mai i te maha o nga PDFs e hiahia ana koe. Ko te ratonga e tautokohia ana e te panui na reira ka noho kore utu mo te katoa.

LLM-Reri i roto i te Paa Kotahi

Tīpakohia te aratau Hononga ka whakahōputu-muahia te putanga mo te whakapiri ki roto ChatGPT, Claude, Gemini, tetahi AI ranei me te whakauru kupu. Karekau he momo ahua-whangai e moumou ana i nga tohu, kaore he raina rereke e whakapoauau ana i te tokenizer — ma nga kowae ma.

Puranga-Kōnae-maha

Whakataka 10, 50, 200 PDFs i te wa kotahi. Ka riro i ia tangata tana ake konae .txt i tapaina ki te puna. He tino pai mo nga rerenga mahi rangahau, arotake hanganga ture, me nga mahi katoa e hiahia ana ki te tuhi mai i nga tuhinga maha i te wa kotahi.

Ko nga konae e kore e waiho i to taputapu

Ka haere nga tangohanga katoa i to rohenga i to kaitirotiro. Kare o PDFs e pa ki o maatau tūmau na te mea karekau he mea mo o konae - kaore e taea e matou te kite i o tuhinga.

Kore Kaute, Kore he Imera

Me timata tonu te tango. Kaore he hainatanga, kaore he hopu imeera, kaore he kaari nama. Ko te ahua o te mahi rorohiko papamahi i mua i nga "whakamatautau kore utu".

Kore Rahi Kōnae

He utu iti te tangohanga kupu - kaore e tika kia kapi te rahi whakauru. He 2GB PDF me nga wharangi 10,000 o nga tangohanga kuputuhi i raro i te meneti i runga i te pona noa.

Kaore he Tohuwai

Kei roto i te .txt nga mea i roto i te PDF. Karekau he pane "whakahurihia ki te...", karekau he hononga hiku, karekau he tohu.

Mahi Tuimotu

Kia utaina tenei wharangi ka taea e koe te momotu mai i te ipurangi ka mahi tonu te tango. He pai mo nga PDFs matatapu ka pai koe ki te tukatuka me te kore he whatunga.

Nga Kahua Putanga E Toru, Kua Whakamaramahia

Paerewa — te taunoa 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.

Kua hono - mo te whakauru 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.

Tau — mo te panui tangata

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.

He mea nui: PDFs kua karapahia Me 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

Āhuatanga	PDF Edit	FreeConvert	PDF2Go	Smallpdf	pdftotext.com
Kua tukuna nga kōnae ki tetahi tūmau?	No — 100% local	Ae	Ae	Ae	Ae
puranga maha-kōnae?	Unlimited	1 i te wa kotahi	Ka utua anake	Ka utua anake	1 i te wa kotahi
Nga momo putanga?	3 (Standard / Joined / Numbered)	1	1	1	1
LLM-rite te putanga?	Yes (Joined)	Kao	Kao	Kao	Kao
Kua hiahiatia he kaute?	Never	He iti te taumata utu	He iti te taumata utu	He iti te taumata utu	Kao
He tepe kōnae ia rā?	None	5 / haora	Rahi + tatau potae	2 / haora	Potae rahi
He tohuwai kei runga i te putanga?	No	Kao	Kao	Kao	Kao
Ka mahi i te wā e kore e hono?	Yes	Kao	Kao	Kao	Kao

Ina kei roto i o PDF tetahi mea kaore koe e whakaputa - he tauira, he korero poto a te kiritaki, he memo o roto, he raraunga rangahau - ko te rereketanga i waenga i te rohe-anake me te tuku-tuatahi ehara i te mea ngawari. Ko te pitch katoa.

Ko wai ka huri i te PDFs ki te Kuputuhi?

Te whangai PDFs ki te ChatGPT / Claude

Kei ia LLM he whakauru kuputuhi - ehara i te whakauru PDF. Hurihia ki te aratau Hononga ka whakapiri i te .txt ki to tono. Ka noho pai nga tohu; ka panui te tauira i to tuhinga kaore he paipa PDF i te ara.

Te rangahau me te arotake matauranga

Whakatakahia te 50 hautaka PDFs i te wa kotahi, hurihia katoa ki roto i te puranga kotahi, ka grep / rapu i te roopu kupu. He tere ake i te Ctrl+F-ing i roto i te 50 kaitirotiro PDF motuhake.

Te whakahua me te whakahua

Tangohia nga waahanga motuhake mai i nga kirimana, ripoata, pepa ranei hei whakamahi i nga imeera, memo, tuhinga ranei. Ko te tangohanga kupu e pupuri ana i nga kupu tika kia tika ai nga korero.

Te tangohanga raraunga me te tātari

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.

Whakapuranga me te rapu tohu tohu

Hurihia he puranga tuhinga hei kuputuhi ka taea te rapu. Tautuhi i nga konae .txt ki te ripgrep, Lunr, Meilisearch, tetahi miihini rapu kupu-katoa ranei. he puhoi te rapu PDF-maori; he tere tonu te rapu kupu.

Te urunga me nga panui mata

Ko nga konae .txt maa te whakatakotoranga tino watea — ka korero maori nga kaipanui mata katoa, karekau he PDF miihini. He pai mo te tiritiri ihirangi ki nga kaipanui-a-kanohi, ki te hunga whakarongo ranei e pai ana ki nga atanga reo.

PDF ki te Kuputuhi i runga i tetahi Pūrere

Ko ta maatau PDF ki te kaitahuri kuputuhi ka mahi i runga i tetahi taputapu me te tirotiro hou - Windows, Mac, Linux, Chromebook, iPad, iPhone, me Android. Karekau he rorohiko hei whakauru, karekau he monomai e hiahiatia ana, karekau he mana whakahaere. Kia utaina te wharangi, ka taea e koe te momotu mai i te ipurangi ka haere tonu te tango - ka rere nga mea katoa i te rohe.

Me pehea te PDF i runga i te Tirotiro ki te Tango Kuputuhi?

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.

Pātai Auau

Me pehea taku huri i te PDF ki te tuhinga mo te kore utu?

Whakatakahia to PDF(s) ki te wharangi i runga ake nei, tohua he ahua whakaputa, pawhiria te Huri ki te Kuputuhi. Ka riro ia PDF tana ake konae .txt i tangohia i te rohe.

Ko tehea momo putanga pai mo ChatGPT / Claude / LLM?

Kua hono. Ka tihorea nga wahanga wharangi (he tohu ururua) ka whakaputa i nga tuhinga rere ma te tauira ka taea te panui hei kowae maori.

Kua tukuake taku PDF ki te tūmau?

Kao. Ka rere katoa te tangohanga i to kaitirotiro. Ko to PDF kaore e pa ki o maatau tūmau - karekau he mea mo o konae.

Ka taea e au te huri i te PDF kua karapahia ki te kuputuhi?

Ehara i tenei taputapu. Ka tangohia e matou te paparanga kuputuhi kua mau ki te PDF. Ko nga matawai (whakaahua o te tuhinga kaore he paparanga tuhinga) me OCR, he whare pukapuka motuhake e tika ana mo tana ake taputapu. Hei whakamatautau: ngana ki te kowhiri i nga kupu i roto i to kaitirotiro PDF — mena he tohu tohu, ka tangohia e matou; ki te miramira te wharangi hei ahua kotahi, me OCR koe.

Ka taea e au te huri i nga PDF maha i te wa kotahi?

Ae. Whakatakahia te maha e hiahia ana koe. Ka riro i ia tangata tana ake konae .txt i runga i te mata kua rite - kaore he ZIP, kaore he purongo, he tango takitahi noa iho.

Ka tiakina e te kuputuhi te tahora?

Āe tata — ka tiakina te ūnga pānui, ngā wahanga raina, me te hanganga tūāhua ina he papa kuputuhi tika tō PDF. Ka kohikohi kētia ngā hoahoa uaua (ngā mekameka rua-tūāhua, ngā tēpu taumaha). Whakamahia /pdf-to-word.html mō te tika hoahoa katoa.

He tepe rahi kōnae?

Kaore he rohe hangai. He iti noa te tangohanga kupu — ara he 2GB PDF me nga mano tini o nga wharangi ka mutu i raro i te meneti i runga i te pona hou.

He tohuwai, he tohu ranei kei te .txt?

Kao. Ko te kupu anake mai i to PDF, kaore he mea taapiri. Karekau he pane, karekau he hononga hiku, karekau he raina "whakahurihia ki te...".

Me whai pūkete ahau?

Kao. Kaore he hainatanga, kaore he imeera, kaore he captcha, kaore he kaari nama.

Kei te mahi tuimotu?

Ae, kua utaina te wharangi. Ka rere nga mea katoa i roto i to kaitirotiro — momotuhia ka tango tonu.

Last updated: 2026-07-15

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.

Kua reri au kōnae kuputuhi!

✏️ Whakatika Kuputuhi 📦 Kōpeke 📝 PDF ki Word 🔄 PDF ki 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. Kāore i wāhi atu.

100% mahi ā-rohe

Ko nga kaitahuri PDF-ki-kuputuhi-ipurangi katoa ka tuku ake i to konae, ka poroporoaki i te taha-tumau, ka hoatu he hononga tikiake ki a koe. Ka rere katoa matou i roto i tenei ripa tirotiro - ka noho to PDF ki te mahara taputapu i nga wa katoa. Karekau he kape taha tūmau na te mea karekau he tūmau mo o kōnae.

Kāore he whakamātautau, kāore he mahi tinihanga, kāore he mahanga

Kore utu ake ake, tautokona e ngā panui. Kāore he kaute, kāore he hopunga īmēra, kāore he kāri nama, kāore he tohu wai i runga i te putanga, kāore he wall 'whakaake hei whakatuwhera' i waenganui o te rerenga. Ko tāu i whakamahi ai tērā ko ngā mea katoa ka tukuna e mātou.

Mahi tuimotu, mahi i uta katoa

I muri i te uta o tēnei whārangi ka taea e koe te wehewehe i te ipurangi ā ka mahi tonu te kaiwhakauru. Windows, Mac, Linux, Chromebook, iPad, Android — tētahi pūtirotiro hou. Kāore he tāurunga, kāore he mātāpono, kāore he mana whakahaere.

Kāore he kaute
Kāore he tukuake
Kāore he tohu wai
Kāore he tepe kōnae
Kāore he keri raraunga
100% tūmataiti
Mahi tuimotu
Kāore he rēhitatanga

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