ChatInDoc
Automate document analysis and understanding with AI explanations
Target Audience
- Academic researchers
- Financial analysts
- Technical writers
- Business professionals
Overview
ChatInDoc helps you quickly understand complex documents through AI-powered chat. Ask questions, get summaries, and clarify concepts in PDFs, Word files, and other formats without reading everything. Ideal for students, researchers, and professionals who need to process technical manuals, academic papers, or business reports efficiently.
Key Features
AI Summarization
Get instant document summaries through chat commands
Multi-Format Support
Handles PDF, Word, Excel, PowerPoint & text files
In-App Viewer
View documents without switching between applications
Table Extraction
Convert complex data into organized table formats
Terminology Help
Clarify unfamiliar concepts through contextual Q&A
Use Cases
Analyze financial reports in table format
Understand academic papers faster
Decode complex instruction manuals
Extract key points from business documents
Save time on technical documentation reviews
Pros & Cons
Pros
- Free tier with 20 monthly questions
- Reduces document processing time significantly
- Handles multiple file formats
- Specialized features for academic/business analysis
Cons
- 50MB file size limit on Pro plan
- Tables/images may not parse accurately
- Requires specific questioning for best results
Pricing Plans
Free
monthlyFeatures
- 2,000 points/month (~20 questions)
- 5 PDF storage limit
- 10MB max file size
- 1-week file retention
Pro
monthlyFeatures
- 200,000 points/month (~2,000 questions)
- 30 PDF storage
- 50MB max file size
- Permanent file storage
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
What file formats are supported?
PDF, Word, Excel, PowerPoint, and text files
Is there a page limit per document?
Recommended up to 100 pages per file for optimal performance
How accurate are the AI responses?
Accuracy depends on question specificity and document text quality
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