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ChatPDF
ChatGPT
Docalysis
Sharly AI
PDF.ai
ChatWithDocs.co
Humata AI
CypherScan
ChatPDF
Humata AI
ChatGPT
Gemini
Claude AI
AllScan
Claude by Anthropic
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.
ChatDOC
CypherScanNo CypherScan videos yet. You could help us improve this page by suggesting one.
CypherScan's answer:
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.
CypherScan's answer:
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.
CypherScan's answer:
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.
CypherScan's answer:
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.
CypherScan's answer:
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.
Based on our record, ChatDOC seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I search an alternative to ChatDoc with an available API. I want to make an app where the user can upload a PDF and ask question about it. Source: about 3 years ago
I want to try this, but it's stuck at processing, showing 100% but not usable. Iโve tried a lot of chat-with-pdf apps, including ChatDOC, ChatPDF, Humata and others. For serious paper reading, I must say that ChatDOC(https://chatdoc.com/) is the best option. The accuracy of ChatDOCโs understanding of tables, data, and texts is significantly higher than other products. Also you can upload a folder of files and chat... - Source: Hacker News / over 3 years ago
Try ChatDoc: https://chatdoc.com/ I think it might be just what you're looking for. Source: over 3 years ago
Bulk download your notes and upload to a service like ChatDocs. Source: over 3 years ago
I have tested several tools, and Chatdoc ๏ผhttps://chatdoc.com/) is better. - Source: Hacker News / over 3 years ago
ChatPDF - Chat with any PDF! Join millions of students, researchers and professionals to instantly answer questions and understand research with AI
ChatGPT - ChatGPT is a powerful, open-source language model.
Humata AI - Unlock AI insights for your files instantly. Ask, learn, and extract data 10X faster with Humata.
Docalysis - AI Chat with your Documents
Sharly AI - Turn research chaos into clarity.
Gemini - Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.