ChattyDocs
ChattyDocs is an AI-based tool designed to interact with documents, PDFs, and other files, aiding in data management via a conversational approach. It enables u...
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What is ChattyDocs?
ChattyDocs is an AI‑powered assistant that lets users chat with their own documents, PDFs, text files, or data scraped from website links through a natural‑language interface. The core workflow starts with building a dataset, where users upload multiple files or provide URLs, then index that data in the background so they can immediately start querying it without waiting for processing to finish. Once indexed, the dataset behaves like a searchable knowledge base the AI can reference to answer follow‑up questions, trace back to specific pages or links, and maintain context across multiple sessions.
The tool offers deep configuration of each dataset, including choosing a chat model, context size, and AI creativity level (via temperature), plus the ability to assign the assistant a name, personality, and system prompts that shape how it answers. Users can create and share public datasets by link, embed the chat into other platforms, or continue conversations across desktop, mobile, and a Telegram bot. This makes ChattyDocs suitable for people who work with large sets of documents, such as researchers, consultants, legal professionals, analysts, and teams that want a shared AI‑powered knowledge base over their internal materials.
Answers are augmented with source references: for PDFs and text files the AI indicates the document name and page number, while for website‑based data it returns the original URL. Users can export entire question‑and‑answer histories, persist chat sessions to resume later, and provide reusable chat context that is injected into every query along with the dataset content. The tool also tracks usage relative to upload quotas and subscription limits, helping individuals and teams stay within their plan while still exploring multiple datasets and Telegram bots built on top of those datasets.
ChattyDocs pricing
Pricing model: Freemium
ChattyDocs offers a free trial with 20 dataset queries and 900 kilobytes of text available for uploading, no credit card required. The paid plans are all monthly and cancellable anytime: Casual at 9 dollars per month includes 20 datasets, 30 documents per dataset, 1 Telegram bot, 7 megabytes of text upload per month, and 1,000 dataset queries per month, plus export of queries and answers and the ability to create Telegram bots. The Scale plan at 49 dollars per month includes 100 datasets, unlimited documents per dataset, 10 Telegram bots, 35 megabytes of text upload per month, 5,000 dataset queries per month, export of queries and answers, Telegram bots, and API access. The Enterprise plan at 399 dollars per month includes unlimited datasets, unlimited documents per dataset, 30 Telegram bots, 200 megabytes of text upload per month, 30,000 dataset queries per month, export of queries and answers, Telegram bots, API access, and priority support. The company also offers a custom self‑hosting plan for organizations that want to run the database, vector store, web application, and all services themselves using Docker, with pricing available upon request via email to support.
ChattyDocs pros
- chat with custom documents, PDFs, and text files
- ingest data from website links automatically
- add or delete documents from a dataset at any time
- background indexing so you do not wait for processing
- choose chat model and context size per dataset
- control AI creativity through temperature settings
- assign the AI a name and personality via system prompts
- create and share public datasets by link
- receive answers with source references including page numbers
- easily export all questions and answers in one click
- use multiple persisted chat sessions with the same dataset
- provide reusable chat context attached to each session
- preview and manage sessions from desktop, mobile, and Telegram
- build and manage Telegram bots powered by your datasets
- access via desktop, mobile, and Telegram interfaces
- API access on higher‑tier plans
- priority support on the Enterprise plan
- self‑hostable option for organizations using Docker
- free trial without credit card requirement
- live usage tracking for upload and query quotas
ChattyDocs cons
- requires conversion of scanned PDFs to text before indexing
- upload quotas measured in megabytes of text may limit large documents
- limited free trial quota of only 20 queries and 900 kilobytes
- casual plan restricts datasets and documents per dataset
- Telegram bots are limited in number per plan
- API access is not available on the Casual tier
- self‑hosting requires technical setup with Docker and infrastructure
- pricing is per month even if usage is low
- enterprise plan may be expensive for small teams
- plans are not usage‑based beyond the stated quotas
- some advanced features locked behind higher‑tier plans
- no built‑in OCR or advanced layout‑aware document parsing described
- Telegram‑only live‑demo example limits immediate desktop exploration
- dataset sharing does not include fine‑grained permissions or authentication
- cannot bypass model and context‑size limits without upgrading
- users must manage their own datasets and clean up unused files
Frequently asked questions about ChattyDocs
What is ChattyDocs and what does it do?
ChattyDocs is an AI assistant that lets you chat with your own documents, PDFs, text files, or data loaded from website links. You create a dataset by uploading files or providing URLs, then index them in the background so you can ask questions and get answers backed by those sources.
How do I prepare a dataset in ChattyDocs?
You can upload multiple PDFs or text files from your device using the built‑in upload manager, or add data by entering a website link that will be automatically downloaded and parsed. You can also add or remove documents from an existing dataset later and see how much of your upload quota each file or website consumes.
Can I use ChattyDocs without installing any software?
Yes, ChattyDocs is accessible via a web interface on desktop and mobile, and you can also interact with your datasets through an embedded web widget or a Telegram bot, so you do not need to install a separate native application to use it.
How are answers sourced in ChattyDocs?
Answers include source references: for uploaded PDFs and text files the AI shows the document name and the page number, while for website‑based data it returns the original URL. This lets you quickly verify where the information came from or jump back to the source material.
Can I share my datasets with others?
Yes, you can create public datasets that are accessible by link so other ChattyDocs users can view and interact with them. However, management and editing of the dataset remain under your control unless you explicitly share management rights via other channels.
Are there mobile and Telegram options?
ChattyDocs supports usage on desktop, mobile browsers, and via Telegram; you can create Telegram bots that chat with your datasets and preview and manage your chat sessions across all three entry points from the same account.
How does the free trial work?
The free trial includes 20 dataset queries and 900 kilobytes of text available for uploading, with no credit card required. Once you exceed those limits or want higher quotas you need to subscribe to one of the paid plans.
What upload limits apply on the paid plans?
The Casual plan allows 7 megabytes of text upload per month, the Scale plan allows 35 megabytes per month, and the Enterprise plan allows 200 megabytes of text upload per month, all measured against your total indexed text from documents and websites.
Is there an API for developers?
Yes, API access is included in the Scale and Enterprise plans, enabling developers to integrate ChattyDocs into their own applications, workflows, or services while still being subject to their monthly dataset query and upload quotas.
Can I self‑host ChattyDocs for my organization?
Yes, ChattyDocs offers a custom self‑hosting solution where the database, vector store, web application, and all services run on your own infrastructure using Docker; pricing and technical details are provided upon request through the support email listed on the website.