ChattyDocs

Chat with PDFs, text files and websites through a grounded RAG assistant

Beginner
Screenshot of ChattyDocs, Chat with PDFs, text files and websites through a grounded RAG assistant

What is ChattyDocs?

ChattyDocs is an AI chat bot tool that chats with PDFs, text files and websites through a grounded RAG assistant. A document chat assistant that indexes PDFs, text files and website pages into datasets, then answers questions with page-level citations.

ChattyDocs is a document chat tool built around a simple idea: group your source material into a dataset, then ask questions against it in plain language. You can upload PDFs or other text files from your device through the built-in upload manager, or point the tool at a website link so the page content is downloaded and parsed automatically. Each dataset can be edited after the fact: add documents later, remove ones you no longer need, and check how much uploading credit or subscription quota each file or site will consume before you commit. Once the sources are in place, the dataset gets its own settings. Users choose a chat model and allocate context, history and output sizes, adjust the temperature to make responses more creative or more deterministic, and write system prompts that give the assistant a name, personality, response language or behavioural rules. A dataset can also be made public and shared by link, which turns it into a small knowledge base other ChattyDocs users can query. Indexing runs in the background, so processing large files does not block work. The chat layer is what most people will judge it on. Answers come back with sources attached: a multi-page file is cited by document name and page number, while a website source is cited by link. Conversations persist across sessions, so you can pick up where you left off, and a session can carry extra chat context that is folded into every query alongside your question and the indexed material. Exported question and answer logs are available in one click. It suits researchers, students, support teams and analysts who need to interrogate a body of documents without reading every page. It also works as a lightweight knowledge base for small teams that want a shareable Q&A layer over internal material. ChattyDocs runs on desktop, mobile and Telegram, with the same sessions visible across all of them, and offers a free starting point. Compared with general chat assistants it is narrower and more grounded, since answers are tied to the sources you supply.

How do you use ChattyDocs?

  1. 1Create a free account
    Sign up at the client portal to get access to the dashboard where datasets and chat sessions are managed.
  2. 2Build a dataset from files or a website link
    Use the upload manager to add multiple PDFs or text files, or paste a URL so the page is downloaded and parsed. Quota cost per source is shown before upload.
  3. 3Configure model, context and personality
    Pick a chat model, set context, history and output sizes, adjust temperature for creativity, and write a system prompt to define how the assistant answers.
  4. 4Ask questions and check the citations
    Query the dataset in chat. Each reply lists the source documents with page numbers or the originating website link so claims can be verified.
  5. 5Reuse and share sessions
    Return to persisted sessions to continue earlier threads, add extra chat context to a session, export question and answer logs, or publish the dataset for sharing by link.

Pros and cons

Pros

  • Every answer is returned with sources, including page numbers for multi-page files and links for website sourcesAI
  • Datasets are editable after creation, so documents can be added or removed as the source material changesAI
  • Background indexing means large uploads do not block you from workingAI
  • System prompts allow custom personality, language and response behaviour per datasetAI
  • Public dataset links turn a private collection into a shareable knowledge baseAI

Cons

  • Pricing tiers, quotas and per-file credit costs are not stated on the homepage, so budgeting requires checking the app firstAI
  • Uploads consume a credit or quota allowance, which can be a constraint for very large document collectionsAI
  • No API, integration or documentation pages are published on the homepage, so programmatic use and self-hosting options are unclearAI
  • Source quality depends entirely on parsing, and the homepage gives no detail on how scanned or image-heavy PDFs are handledAI

How much does ChattyDocs cost?

Free trial

The site advertises a free sign-up path with a Try for FREE link that opens the client portal, but it does not specify trial length, limits or which features are gated.

Learn more

Integrations

Telegram is the only named integration: a bot can serve a dataset and its sessions appear alongside app and embedded web chats. The homepage states that mobile access is available.

Features

Core features include multi-file and website ingestion with background indexing, upload quota tracking, per-dataset model and context settings, temperature control, system prompts for personality and language, shareable public datasets, cited answers with page numbers or source links, persisted chat sessions, session-level chat context, one-click export, and access on desktop, mobile and Telegram.

Frequently asked questions about ChattyDocs

  • Does ChattyDocs offer a free trial?
    The site advertises a free sign-up path with a Try for FREE link that opens the client portal, but it does not specify trial length, limits or which features are gated.
  • How do you use ChattyDocs?
    The walkthrough on this page covers 5 steps: 1. Create a free account 2. Build a dataset from files or a website link 3. Configure model, context and personality 4. Ask questions and check the citations 5. Reuse and share sessions.
  • What platforms does ChattyDocs support?
    ChattyDocs is available on Web App, iOS and Android.
  • What does ChattyDocs integrate with?
    Telegram is the only named integration: a bot can serve a dataset and its sessions appear alongside app and embedded web chats. The homepage states that mobile access is available.
  • What are the limitations of ChattyDocs?
    Pricing tiers, quotas and per-file credit costs are not stated on the homepage, so budgeting requires checking the app first. Uploads consume a credit or quota allowance, which can be a constraint for very large document collections. No API, integration or documentation pages are published on the homepage, so programmatic use and self-hosting options are unclear.

Status

StatusActive
Views0
Outbound clicks0
Added10/21/2026

Platforms

Web AppiOSAndroid

Pricing

FreemiumFree Trial