PDFClear – Private PDF Tools with Local AI

TL;DR

TL;DR: PDFClear is a free browser-based PDF toolkit with local AI search powered by WASM and Transformers.js — all processing happens on-device, files never leave your browser.

Source and Accuracy Notes

• Official site: pdfclear.com
• Show HN: news.ycombinator.com
• WASM-based processing, no server upload required

What Is PDFClear?

PDFClear is a privacy-first PDF toolkit that runs entirely in your browser. Unlike most online PDF tools that upload your files to a server, PDFClear performs all operations locally using WebAssembly (WASM) and Transformers.js. This means sensitive documents — contracts, medical records, financial statements — never leave your device.

The tool suite covers the most common PDF workflows:

• Merge / Split — combine multiple PDFs or extract specific page ranges
• Compress — reduce file size while preserving quality
• Convert — between PDF, Word, Excel, image formats
• Sign — add digital signature fields
• OCR — extract text from scanned documents
• Local AI Search — load a model once, then search PDFs offline using natural language

The AI search feature is the standout. It downloads a Transformer model on first use, caches it in the browser, and then lets you query any PDF semantically — without an internet connection.

Setup Workflow

No installation required — everything runs in the browser.

Step 1: Open PDFClear

Navigate to pdfclear.com. No account, no email, no paywall.

Step 2: Choose a Tool

Select from the tool palette at the top: Merge, Split, Compress, Convert, Sign, OCR, or AI Search.

Step 3: For AI Search — One-time Model Download

On first use of AI Search, the page downloads a Transformers.js model (~50–150MB depending on the model size). This happens once; subsequent searches work fully offline.

The model is served from a CDN but runs locally in the browser via WASM. After the initial load, disconnect your internet and search still works.

Step 4: Process Your PDF

Drag-and-drop or click to upload. For AI Search, type a natural language query like “find all clauses about termination” — the model embeds your query and returns relevant sections.

Deeper Analysis

Privacy Model

Most “online” PDF tools upload your file to a backend server. PDFClear breaks this pattern: the entire processing pipeline runs in the browser. Files are read as ArrayBuffers, processed by WASM-compiled libraries, and written back — never touching a server.

For AI search specifically, the embedding model runs client-side. Your query and document content never leave your device. This is meaningfully different from tools that claim “local” but still phone home for model inference.

WASM Processing Pipeline

The core PDF operations (merge, split, compress) use WASM-compiled libraries that mirror the functionality of server-side tools like pdftk or Ghostscript. Performance depends on your device, but for documents under 50 pages it is snappy.

OCR via Transformers.js

The OCR capability uses a quantized transformer model in the browser. Accuracy on clean scanned documents is good; on distorted or skewed scans it degrades. This is a limitation of running a constrained model in-browser rather than a full desktop OCR engine.

Trade-offs vs Desktop Tools

| Feature | PDFClear | Desktop (e.g., Adobe, pdftk) | |---|---|---| | Installation | None | Required | | Privacy | Fully local | Depends on tool | | File size limit | Browser memory bound | None | | OCR accuracy | Moderate | High | | Batch processing | Manual | Scriptable | | Cost | Free | Paid |

Practical Evaluation Checklist

• Works fully offline after first model load
• No account or login required
• No file size indicator shown — large PDFs may stall in tab
• AI search quality depends on model size loaded (default quantization)
• Merge/split handles most common cases; edge cases (encrypted PDFs, password-protected files) not supported
• Mobile: functional but not optimized — desktop recommended for serious work

Security Notes

The WASM processing model is a genuine security advantage for sensitive documents. However, a few caveats:

• Browser sandbox — the tool inherits your browser’s security model. A compromised browser means compromised processing.
• No audit log — there is no way to verify what the WASM binary actually does with your data. For highest-assurance needs, use an air-gapped device with open-source desktop tools.
• Model supply chain — the Transformers.js model is fetched from a CDN on first use. Verify the CDN URL in the source if you want full chain-of-custody assurance.

FAQ

Q: Is PDFClear really free? A: Yes. No tier, no watermark, no upload limit stated. The project appears to be community-supported or hobby-built.

Q: Can I use it without an internet connection? A: After the AI search model downloads once, yes — fully offline. Other tools (merge, split, compress) always work offline since they require no model.

Q: How does the AI search compare to dedicated PDF tools? A: For natural language queries across a small set of documents, it works well. For large document sets or precise keyword search, a dedicated indexing tool will outperform it.

Q: What happens to my files? A: Nothing leaves your browser. All processing is client-side WASM and Transformers.js.

Q: Does it handle scanned PDFs? A: Yes — OCR is built in. Accuracy on clean scans is decent; degraded scans may require pre-processing for best results.

Conclusion

PDFClear fills a real gap for developers and privacy-conscious users who need quick PDF operations without uploading sensitive documents to a third-party server. The WASM + Transformers.js stack is technically sound, and the fully offline AI search is a genuine differentiator.

It is not a replacement for desktop PDF tooling when you need batch processing or maximum OCR accuracy. But for ad-hoc, sensitive, or one-off tasks — especially on the go — it is a clean, no-install option worth bookmarking.

Try it: pdfclear.com