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Popular tools
The highest-demand tools with full options — browse by category below for the rest.
How this actually works
Each tool runs entirely with JavaScript already loaded in this page — PDF tools via pdf-lib and pdf.js, image tools via the browser's native Canvas API, and everything else with plain JavaScript. Your files or input are read into browser memory, processed, and handed back as a download or copyable result. This page itself is served by a small Laravel route; Laravel never sees your files either. The only backend in use is Supabase, and only for two optional things: signing in with a magic link, and — only if you're signed in — a log of which tool you ran and when. Honest limits worth knowing: Compress PDF flattens each page to a re-encoded image (great for scans, not ideal if you need selectable text after); HEIC conversion depends on your browser (Safari usually works; Chrome often cannot decode HEIC without a library we don't ship); Fill PDF Form is best-effort for simple AcroForm fields, not a full Adobe Forms replacement; and Word/Excel/PowerPoint ⇄ PDF genuinely needs a server-side engine, so it isn't included — this build only ships tools that can honestly run client-side.
Questions people actually ask
What is OCR PDF actually doing?
It runs Tesseract.js — a WebAssembly build of the open-source Tesseract OCR engine — entirely in your browser to recognize the text in each page's image, then either builds a new PDF with that text placed invisibly over the original page image (so it looks the same but becomes selectable/searchable) or gives you the recognized text as a plain .txt file.
Which languages are supported?
English, Spanish, French, German, Portuguese, Italian, Dutch, Hindi, Arabic, Chinese (Simplified), Russian, and Japanese. Pick the language the document is actually written in for accurate results — running English OCR on a Hindi document (or vice versa) produces garbled text.
Why does the first run take longer than later ones?
The OCR engine and the selected language's data (a few megabytes) are downloaded once when you first run OCR PDF. Your browser caches them, so switching pages or running it again with the same language skips that download.
Does this work on a PDF that already has selectable text?
It can, but it's the wrong tool for that case — PDF to Text extracts the existing text instantly and exactly. OCR PDF is meant for scanned pages or photographed documents that are just an image, with no real text underneath yet.
Will the searchable PDF look different from my scan?
No — the original page image is kept exactly as it was; the recognized text is placed on top but rendered fully transparent, so nothing changes visually. You (and search/Ctrl+F) can still select and search the text, but the page looks like an unaltered scan.
What if OCR misreads some words?
OCR accuracy depends on scan quality — a clean, high-resolution, straight scan reads far more reliably than a blurry or skewed photo. It won't be 100% perfect on messy input, same as any OCR engine, but a decent scan typically recognizes cleanly.
Can it read handwriting?
Not reliably — Tesseract (like most OCR engines) is built and trained for printed text. Handwritten notes may partially recognize but shouldn't be relied on.
How long does a large PDF take?
Recognition runs page by page in your browser, so it scales roughly linearly with page count — a 5-page document finishes in well under a minute; a 100-page document takes proportionally longer, since it's your device doing the work, not a server.
Is my document uploaded anywhere for OCR?
No — the OCR engine itself runs as WebAssembly inside your browser tab. The only network requests are one-time downloads of the engine and language files from a public CDN; your actual PDF and everything recognized from it never leaves your device.
What's the difference between the two output options?
Searchable PDF keeps the original look of every page and adds an invisible, selectable text layer — the best choice if you still need the document to look like a scan. Plain text (.txt) discards the images entirely and gives you just the recognized words — smaller and simpler if all you need is the text itself.
Is this really free, and is there a file size limit?
Yes — no account, no paywall. Since processing happens in your browser's memory rather than uploading anywhere, the practical limit is your device's available RAM, not a server quota. Very large files (500+ pages) may run slower, especially for Compress and PDF→JPG.
Does anything about my file get sent anywhere?
No. Every tool runs with pdf-lib/pdf.js loaded in this page; your file is read into browser memory and never leaves it. The only network call this app makes for your account is Supabase auth — and that only stores which tool you ran and when, never file content.
Why isn't Word/Excel/PowerPoint → PDF included?
Converting Office formats accurately needs a real rendering engine (what Word or LibreOffice use internally) — no browser library does this reliably. Rather than ship a broken version, it's left out.
Does TechDriven Tools have OCR (text recognition)?
Yes — OCR PDF recognizes text in scanned or photographed pages using Tesseract.js, running entirely on your device, and gives you a searchable PDF or a plain text file. Nothing is uploaded for this either.
Can I use this without an internet connection?
Once the page and its libraries have loaded once, yes — the tools themselves need no network access. Signing in and viewing history do require a connection, since those talk to Supabase.
What happens to the "history" if I sign in?
Only a row per tool run — the tool's name and a timestamp. No filename, no file content, ever. You can see the full list any time via the History button.
Are the non-PDF utilities (password generator, JSON formatter, etc.) private too?
Yes — same rule as the PDF tools. Word Counter, Case Converter, Password Generator, UUID Generator, Base64, Hash Generator, JSON Formatter and JWT Decoder all run with plain JavaScript already loaded in this page; nothing you type or paste is sent anywhere.
OCR PDF, in depth
OCR PDF runs recognition in your browser to make scanned pages searchable, with language and output choices for a text layer you can actually find with Ctrl+F.
How OCR PDF works here
OCR PDF runs locally in your browser on TechDriven Tools. Inputs stay on your device — nothing is uploaded for this step.
Read every label before running. For OCR PDF, the controls that change outcomes most are: OCR language, output format (searchable PDF / text), run recognition locally. Change one control at a time when you are comparing results.
When to use it
Use OCR PDF when the job matches what the tool is named for — not as a generic substitute for unrelated PDF or data tasks.
Prefer this browser version when the input is sensitive and you want processing to stay on-device with clear option names like: OCR language, output format (searchable PDF / text), run recognition locally.
If the next step differs (for example you finished and now need a sibling utility), jump to a related tool instead of forcing one screen to do everything.
Teams standardize on OCR PDF when the alternative is emailing files to a consumer upload site. Document the preferred option defaults (for example the usual quality, corner, or rate) so everyone reproduces the same result.
If OCR PDF is only one step in a pipeline, write the order down: what happens before, what happens after, and which related tool owns each step. That prevents double-processing and accidental quality loss.
On mobile, prefer moderate file sizes and simpler option combinations. Local processing is powerful, but phones have less memory than desktops for huge scans or megapixel images.
Search a phone-scanned contract. Run OCR with the correct language so names become findable.
Reuse text from a whiteboard photo PDF. Recognize and export text instead of retyping.
Prepare archives for Ctrl+F. Convert image-only pages into a searchable PDF you keep offline.
Options that change the result
Primary controls
The important controls are: OCR language, output format (searchable PDF / text), run recognition locally. Change one at a time when comparing outcomes so you know what improved the result.
Run and verify
After you run OCR PDF, open or inspect the output on the device where you will share it. Keep originals until that check passes.
Boundaries
This page does not replace desktop suites for heavy Office conversion or certified legal e-sign. It covers the focused job described above.
Practical defaults
Start with conservative defaults on OCR PDF, run once, then adjust. Extreme settings (lowest quality, highest tip, densest QR payload) are for known constraints — not first tries.
Inputs that surprise people
People often misread units or page indexes. Align with the on-screen labels and the total page count or unit selectors before blaming the engine.
Outputs and naming
Rename downloads immediately (date + client + purpose). OCR PDF may use a generic filename; clear names prevent sending yesterday’s draft.
Accessibility and sharing
After visual tools (watermark/sign/page numbers), skim a page with fresh eyes for contrast and coverage. After data tools, copy results into the system of record your team actually uses.
Privacy
OCR PDF is designed to run in your browser so your files and text are not uploaded for the core transformation.
Still handle downloads carefully: a private process can still leave sensitive files in your Downloads folder.
Optional accounts on TechDriven Tools, when used, are about lightweight usage metadata — not storing the contents of your OCR PDF inputs.
If policy requires a vendor DPIA for any online tool, note that local browser processing reduces data transfer risk, but downloaded artifacts still need handling under your retention rules.
OCR PDF is built to process locally in your browser so sensitive PDFs, images, or text do not need to be uploaded to an unknown server just to finish this job.
Common mistakes
- Wrong language pack — Recognition quality collapses if language does not match the page.
- Expecting perfect tables — OCR is for search/text reuse, not flawless spreadsheet reconstruction.
- Skipping unlock on encrypted scans — OCR cannot read locked files.
Getting reliable results from OCR PDF
Most failures with OCR PDF are input/setting issues rather than mysterious bugs: wrong units, wrong page lists, wrong language, or expecting one tool to do a sibling’s job. Re-read the option names, fix the input, and re-run — local tools make iteration cheap.
OCR PDF accelerates the workflow; it does not replace your judgment or professional advice where required.
Related tools
These related tools commonly sit before or after OCR PDF in real workflows.
- PDF to Text — Pull out the raw text content as a .txt file.
- PDF to JPG — Export every page as a high-res image.
- Compress PDF — Shrink with Low/Med/High presets and before/after size.
Use OCR PDF when you need this specific job done privately and quickly. Respect what it is not (see mistakes), verify outputs, and chain related tools only when the next step truly differs.
Start from OCR PDF.
If you arrived from search looking for OCR PDF, bookmark the tool page itself after this guide — the article exists to teach options and pitfalls, not to replace the working UI.
When something looks wrong in OCR PDF, reproduce with a tiny sample input first. Smaller fixtures debug faster than a 200-page scan or a 2MB JSON blob.
From our blog: How to OCR a PDF and Make It Searchable