ChattyDocs
Chat with your documents using AI, with source attribution.
ChattyDocs is a practical, low-cost option for text-only document Q&A with clear source citations. The upload caps (7 MB on Casual, 35 MB on Scale) are limiting for heavy users, but the Telegram integration and self-hosting option add flexibility. Recommended for solos and small teams who prioritize budget over volume. Consider alternatives like ChatPDF or AskYourPDF if you need larger uploads or multimodal support.
Verified 6d ago · liveness 64/100 · cite: rightaichoice.com/tools/chattydocs
- Researchers analyzing large PDF or text collections with citation needs
- Legal professionals reviewing case files and contracts
- Students studying textbooks or lecture notes
- Content creators curating information from multiple websites
- Users needing very large text upload capacity (over 200 MB/month)
- Those seeking free unlimited queries or multimodal document analysis (images, tables)
- Real-time collaboration features for teams
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Skip ChattyDocs if you need to upload more than 200 MB of text per month, require OCR for scanned documents, or need real-time team collaboration features.
Upload caps are strict: even the top Enterprise plan only allows 200 MB per month, so heavy users may need to upgrade quickly.
ChattyDocs' pricing fits solo researchers and small teams with modest upload needs. At $9/month for Casual, it's cheaper than ChatPDF's $5/month basic but offers more structure. For $49/month Scale, you get API access. However, heavy users may find the upload caps restrictive compared to unlimited-upload competitors like ChatPDF Premium ($15/month) or AskYourPDF's Pro with larger limits.
In short
ChattyDocs — Chat with your documents using AI, with source attribution. Best for Researchers analyzing large PDF or text collections with citation needs, Legal professionals reviewing case files and contracts, Students studying textbooks or lecture notes. Plans from $9/mo.
What people actually say about ChattyDocs — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
6 mentions across 1 source (Product Hunt) · researched Jul 5, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Multi-file upload including PDFs, text files, and websites.
- +Source attribution with document name and page number.
- +Exportable Q&A sessions for record-keeping.
- +Telegram bot integration for on-the-go access.
- +Free trial with no credit card required.
- −Community feedback is extremely sparse and lacks depth.
- −No independent benchmarks or performance reviews available.
- −Scaling costs jump quickly from $49 to $399/month.
- −Limited documents per dataset on lower tiers.
- −No multimodal support (images, scanned PDFs).
- • Self-hosting requires contacting sales for pricing, which is undisclosed.
Viability Score
How well maintained and how widely used is ChattyDocs? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Upload PDFs and text files
- Upload via website link
- Background indexing
- Source attribution with page numbers
- Customizable AI model
- Context size control
- Temperature control
- System prompts for AI personality
- Multiple chat sessions per dataset
- Export Q&A logs
- Public dataset sharing via link
- Telegram bot integration
- API access (Scale and Enterprise)
- Self-hosting via Docker (contact for pricing)
- Usage tracking per file/website
About ChattyDocs
ChattyDocs is an AI document analysis tool that lets you upload PDFs, text files, or website links and ask natural language questions. It indexes documents in the background and returns answers with direct citations—document name and page number for files, or a link for websites. You can choose the AI model, control context size and creativity via temperature, and define system prompts to shape the AI's personality. ChattyDocs supports multiple chat sessions per dataset, exportable Q&A logs, and is accessible via web, mobile, and Telegram. It offers a free trial with 20 queries and 900 KB upload capacity. Paid plans start at $9/month (Casual) and scale to $399/month (Enterprise), with API access on Scale and above, and a self-hosting option for organizations. Unlike generic chatbots, ChattyDocs focuses on document-specific Q&A with verifiable sources, but lacks multimodal analysis and real-time collaboration. It's best for solo researchers, legal professionals, and small teams who need affordable, private document Q&A with citation transparency.
Behind the Verdict
ChattyDocs positions itself as a focused document Q&A tool, not a general-purpose chatbot. Its core strength is the explicit citation of sources—page numbers for PDFs and links for websites—which is essential for research, legal, and academic use. The ability to control the model, context size, temperature, and system prompts gives you a level of customization rare in this price range. The Telegram integration is a differentiator, letting you query your datasets from a familiar chat interface on mobile. Multiple chat sessions per dataset and exportable Q&A logs help keep your work organized. However, the upload caps are tight: even the top Enterprise plan only allows 200 MB per month, which is small for large document collections. There's no OCR for scanned PDFs, and no image or table understanding. Collaboration features are minimal—sharing a dataset only gives others a link, not real-time co-editing. API access only on Scale and above, and self-hosting requires contacting sales, so the entry point for automation is $49/month. For solo researchers and small teams with modest upload needs, ChattyDocs delivers solid value. For heavy users or those needing multimodal analysis, tools like ChatPDF (which supports larger uploads) or enterprise platforms may be better suited.
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Real-world workflow fit
Concrete scenarios for the personas ChattyDocs actually fits — and what changes day-one when you adopt it.
Uploads a set of research papers as PDFs to a dataset, then asks targeted questions and uses the page-number citations to verify findings.
Outcome: Saves hours of manual reading and easily cites exact pages in a literature review.
Creates a dataset from contract files and case documents, asks about key clauses and precedents, and shares a public link with a client for self-service Q&A.
Outcome: Speeds up contract review and provides reliable answers with source citations for client communication.
Uploads product documentation and support guides to a dataset, then embeds a chat widget on their website so customers can get instant answers.
Outcome: Reduces support tickets and provides consistent, source-backed answers.
Use Cases
- Researchers: Upload and query hundreds of PDF papers for literature review with citations.
- Legal professionals: Review case files and contracts by asking specific questions.
- Students: Study textbooks or lecture notes by querying the text.
- Content creators: Curate information from multiple websites by asking questions about links.
- Enterprises: Create a searchable knowledge base from internal documents, with optional self-hosting.
- Client support: Share a dataset so clients can ask questions about product documentation.
Limitations
- Upload capacity is gated by plan, ranging from 7 MB to 200 MB per month.
- Query limits range from 1,000 to 30,000 per month.
- The free trial offers only 20 queries and 900 KB of upload.
- API access is available on Scale and Enterprise plans only.
- No OCR for scanned PDFs or image understanding.
- Collaboration is limited to sharing public links; no real-time editing.
as of 2026-09-08
Verification history
We have re-verified ChattyDocs 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ChattyDocs tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Casual
$9/mo
Ideal for
Solo researchers or students with light document Q&A needs—up to 20 datasets and 1,000 queries per month, 7 MB upload.
What this tier adds
This is the entry-level paid plan, offering 1 Telegram bot and basic export features, a step up from the free trial.
Scale
$49/mo
Ideal for
Growing small teams or professionals who need more capacity (100 datasets, unlimited documents per dataset) and API access.
What this tier adds
Adds API access, 10 Telegram bots, and increases quotas—35 MB upload and 5,000 queries per month.
Enterprise
$399/mo
Ideal for
Organizations with heavy usage and a need for priority support, unlimited datasets, and up to 30 Telegram bots.
What this tier adds
Top-tier plan with unlimited datasets, 200 MB upload, 30,000 queries per month, and priority support.
Where the pricing makes sense
The company stage and team size where ChattyDocs's pricing actually pencils out — and where peers do it cheaper.
ChattyDocs' pricing fits solo researchers and small teams with modest upload needs. At $9/month for Casual, it's cheaper than ChatPDF's $5/month basic but offers more structure. For $49/month Scale, you get API access. However, heavy users may find the upload caps restrictive compared to unlimited-upload competitors like ChatPDF Premium ($15/month) or AskYourPDF's Pro with larger limits.
Setup time & first value
How long it actually takes to get something useful out of ChattyDocs — broken out by persona, not the marketing-page minute.
For a solo researcher: under 5 minutes to sign up, upload a few PDFs, and ask a first question. For a small team: roughly 15 minutes to set up a shared dataset and Telegram bot. For an enterprise evaluating self-hosting: contact sales for a custom setup timeline.
Switching to or from ChattyDocs
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- ↗To ChatPDF: 'If you need larger upload limits, ChatPDF offers more generous upload quotas—export your Q&A logs from ChattyDocs and re-upload your documents.'
- ↗To AskYourPDF: 'For a similar citation-focused tool with more flexible pricing, consider AskYourPDF—your PDFs can be uploaded directly there.'
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “ChattyDocs”, and we withheld 6: 6 could not be judged, because “ChattyDocs” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about ChattyDocs.
Official links
Tools that pair well with ChattyDocs
Common stack mates teams adopt alongside ChattyDocs, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Chattydocs vs Versatile
If you're a steel erector needing crane-specific intelligence without workflow changes, Versatile is unmatched—but it's expensive and narrow. For anyone analyzing large document collections with customizable AI, ChattyDocs offers flexible pricing (starting at $20/mo) and features like source linking, making it a clear win for researchers and legal teams.
Chattydocs vs Screenplayiq
If you need data-driven script analysis with box office predictions, choose ScreenplayIQ — it's purpose-built for screenwriters and industry pros. For general document analysis over large collections of PDFs and texts, ChattyDocs offers flexible AI interactions with source attribution. Both serve distinct needs with no overlap; pick based on your content type.
Chattydocs vs Geologicai
GeologicAI is a purpose-built, high-cost enterprise platform for critical minerals mining, offering end-to-end sensor scanning and AI modeling. ChattyDocs is a versatile, affordable document-analysis AI for knowledge workers. They serve completely different audiences; choose GeologicAI if you're in large-scale mining and need sub-48-hour core analysis, or ChattyDocs for text-heavy research and document QA.
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