Ask your documents anything โ and leave nothing behind.
CypherScan reads PDFs, Word files, spreadsheets, images and plain text, and answers questions about them in the language you ask in.
What is sent, and what is not
Word, text, Excel, CSV, JSON and Parquet files are parsed entirely in your browser โ the file itself never leaves the device, and only the extracted text is sent for analysis. PDFs and images do have to be sent, and the interface says so before you press the button rather than in a policy page nobody reads.
What is stored
Nothing. No document copies, no content logs, nothing kept to train a model. The database holds how many files you have used this week and, if you have an account, your email address.
The trade is honest: there is no conversation history. To ask about a document again, you open it again.
What it does
Summarise a document, pull out key points, extract dates, names and amounts Ask follow-up questions in plain language Run real SQL over spreadsheets and data files โ computed, not guessed (DuckDB-WASM, in the browser) Read scanned pages and photographs directly, with no separate OCR step
Pricing
Free: 3 files and 20 questions a week, no account and no card. One-off pass: $5.99 for 25 files and 150 questions that never expire โ nothing to cancel. Pro: $12.99/mo for 50 files a week. Pro+: $19.99/mo for 150 files a week.
Languages
Interface in English, German, Turkish, Spanish, Russian, French and Portuguese; answers come back in the language you ask in.
Supported formats
PDF, Word, images, text ยท Excel, CSV, TSV, Parquet, JSON
Data retention
None โ no document copies, no content logs, nothing used for training
In-browser parsing
Word, text and spreadsheet files are read on the device and never sent
Most tools that chat with your documents keep a copy on a server โ and that copy is exactly what lets you reopen the conversation next week, so the convenience and the storage are the same fact. CypherScan makes the other trade. Word, text and spreadsheet files are parsed in the browser and never leave the device; PDFs and images are sent, and the interface says so before you press the button rather than burying it in a privacy policy. Nothing is stored on the server and nothing trains a model. The cost is real: there is no history, so you open the file again to ask again.
Mostly for what it does not do. There is no document store to breach, no content log for staff to read, and no training use of what you send. It also starts without friction โ three files a week are free, with no account and no card, and signing in later is a link in an email rather than a password to lose. If you want a searchable library of everything you have ever uploaded, a storage-based tool is genuinely the better choice. If you want an answer without leaving the document behind, this is built for that.
People handling documents they would rather not leave on someone else's server: lawyers and accountants reading contracts and statements, freelancers and small businesses working through invoices, researchers and students going through papers, and anyone reviewing a file that contains someone else's personal data. The interface is in five languages, so a large part of the audience is outside English-speaking markets.
It started from an ordinary irritation: reading forty pages to find one clause, and noticing that every tool offering to do it for you wanted a permanent copy first. The interesting question was how much of the work could happen on the reader's own machine. Word, text and spreadsheet files turned out to need nothing but the browser. PDFs and images still have to be sent, so the product says that plainly instead of hiding it โ a claim you can verify is worth more than one you have to trust.
A static site of plain HTML, CSS and JavaScript with no framework, generated as separate pages per language and served on Vercel with serverless functions. Parsing happens client-side: pdf.js for PDFs, Mammoth for Word, SheetJS for spreadsheets, and DuckDB-WASM to run real SQL over data files inside the browser. Analysis goes through LLM API. Accounts and quota live in Supabase (Postgres with row-level security, passwordless magic-link sign-in). Payments run through Paddle as merchant of record.
We have collected here some useful links to help you find out if CypherScan is good.
Check the traffic stats of CypherScan on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
Check the "Domain Rating" of CypherScan on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of CypherScan's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.
Check the "Domain Authority" of CypherScan on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.
The latest comments about CypherScan on Reddit. This can help you find out how popualr the product is and what people think about it.
Do you know an article comparing CypherScan to other products?
Suggest a link to a post with product alternatives.
Is CypherScan good? This is an informative page that will help you find out. Moreover, you can review and discuss CypherScan here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.