TalkItOut
Create custom AI chatbots trained on your documents and website content

Target Audience
- Customer support teams
- Educators/trainers
- Content-heavy businesses
Hashtags
Overview
TalkItOut lets you build AI chatbots that answer questions about your specific content. Just upload PDFs or add website links, and it creates a knowledge-powered assistant in minutes. Deploy the chatbot as a widget on your site for 24/7 customer support, or share it via link for team training and research purposes.
Key Features
Document Training
Chatbot learns from PDFs and website content automatically
Website Widget
Embed chatbot directly on your site for instant support
Message Credits
Flexible plans scale with your user interactions
Multi-Source Chatbots
Combine multiple documents/URLs into one knowledge base
Use Cases
Answer customer questions instantly
Train chatbots on manuals/guides
Share via link for team access
Pros & Cons
Pros
- No coding required for setup
- Free plan for basic testing
- Scalable message credits system
- Upcoming LLM model selection (GPT-4/Claude)
Cons
- Only supports PDF files currently
- Lower-tier plans have strict message limits
- Advanced features like custom LLMs not yet available
Pricing Plans
Free
monthlyFeatures
- 1 chatbot
- 30 messages/month
- 5,000 character limit
Starter
monthlyFeatures
- 2,000 messages
- 1M characters/chatbot
- Unlimited embeds
Pro
monthlyFeatures
- 5,000 messages
- 2M characters/chatbot
- Unlimited embeds
Business
monthlyFeatures
- 15,000 messages
- 6M characters/chatbot
- Upcoming model selection
Custom
monthlyFeatures
- 50,000 messages
- 12M characters/chatbot
- Remove branding
- Custom LLM fine-tuning
Pricing may have changed
For the most up-to-date pricing information, please visit the official website.
Visit websiteFrequently Asked Questions
Is there a free plan?
Yes: 1 chatbot, 30 messages/month, and 5,000 character limit for testing
Can I upload multiple documents?
Paid plans support multiple PDFs per chatbot, more formats coming soon
How long does training take?
Typically 1-2 minutes, depending on data quantity
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