Document.Bot
A desktop workspace for searching and drafting across local PDF, Word, Excel, and notes with clickable source citations.
Structured project note
Quick read before the full note
A compact summary of the product, practical fit, and latest note update.
- Product
- Document.Bot
- Category
- SaaS
- Stage
- Public launch
- Pricing
- Check project site
- Why it stood out
- The useful idea is not simply chatting with a pile of files. Document.Bot keeps the source trail visible while the assistant searches, compares, and drafts, which makes the result easier to check before it becomes a report or proposal. Its local-first setup also offers cloud, EU-hosted, and offline model choices, so the actual privacy boundary depends on the provider and configuration the user selects.
Project note
About Document.Bot
Product description
What the project says it is
Document.Bot is a document-focused AI workspace that indexes files in a local project folder, lets users search across formats, and links answers back to the relevant PDF page, Word paragraph, comment, or Excel cells.
ProjectRadar context
Why it caught our eye
The useful idea is not simply chatting with a pile of files. Document.Bot keeps the source trail visible while the assistant searches, compares, and drafts, which makes the result easier to check before it becomes a report or proposal. Its local-first setup also offers cloud, EU-hosted, and offline model choices, so the actual privacy boundary depends on the provider and configuration the user selects.
This is a light context note, not a grade, hands-on evaluation, certification, or promise of traction.
What it does
The desktop app works with PDFs, Word documents, tracked changes, Excel workbooks, notes, and technical reference files. Users can tag folders or selected evidence into a chat, search by keyword or description, open citations in the original file, review suggested Word edits, and reuse workflow-specific skills. Model options include hosted APIs, EU providers, and local servers such as LM Studio or Ollama.
Who it is for
It is aimed at teams doing document-heavy research, proposals, compliance preparation, audits, or client work where an answer needs a traceable source. It can shorten the search-and-draft loop, but people working with sensitive material still need to choose the model route deliberately and review the cited evidence themselves.
Closing context
The useful idea is not simply chatting with a pile of files. Document.Bot keeps the source trail visible while the assistant searches, compares, and drafts, which makes the result easier to check before it becomes a report or proposal. Its local-first setup also offers cloud, EU-hosted, and offline model choices, so the actual privacy boundary depends on the provider and configuration the user selects.
Project note details
ProjectRadar project note
Published
July 23, 2026
Updated
July 23, 2026
Page type
Public project page
Context
Public context noted
Status
Published note
- Editorial public profile
- Independently published
- Corrections welcome
- Not sponsored placement
ProjectRadar publishes short public profiles to help readers understand what a project is, who it may help, and where to find the official source. This page is not a hands-on evaluation, certification, or endorsement.
This note reflects a first-time user perspective. It is not investment, technical, growth, or professional consulting advice.
Launch visibility
Note history
A factual log of what ProjectRadar can show about this public note. It avoids traffic, traction, or founder outcome claims.
- Jul 23, 2026
- Project note published.
- Jul 23, 2026
- Visible context findings added from public project-page context.
- Jul 23, 2026
- Badge not available yet.
- Jul 23, 2026
- Eligible for future ProjectRadar Digest mention.
Public context
- Status
- Visible public context reviewed
- Date checked
- Jul 23, 2026
- What this means
- This summarizes visible public-page context only. It is not a hands-on evaluation, certification, or endorsement.
- Visible context findings
- Internal product knowledge Radar Scan. It uses public page copy and available project context to ground a draft, but it does not test the product or verify private claims.
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