Chat Summary
Pricing: Freemium
Type: Summarizer
Starts: $3
Chat Summary is a subscription-based app that utilizes artificial intelligence to generate precise summaries from chat transcripts. It automatically generates summaries when chats are archived or based on selected tags. The app also features a reports section to track usage, offers 50k tokens per agent each month, and ensures token top-ups based on the number of agents in the organization.
Use Cases
- Efficiently review and understand key points of chat conversations without reading the entire transcript.
- Monitor chat summary usage and token balance through the reports section.
- Accumulate tokens over time and use them flexibly for generating summaries.
- Save time and effort by automatically generating summaries from chat transcripts.
- Gain transparency and control over application resources.
- Enjoy cost-effective subscription model and token top-ups.
- Trust the accuracy of the summaries generated using OpenAI’s natural language processing technology.
Features
- 📋 Automatic summary generation: Summaries are automatically generated from chat transcripts when archived or based on selected tags.
- 📊 Reports section: View historical summaries with details such as chat ID, thread ID, chat transcript, and used tokens.
- 💰 Subscription with 50k tokens per agent: Receive 50k tokens per agent every month, which accumulate over time and do not expire.
- 🔝 Token top-ups based on agent count: Tokens are topped up monthly based on the number of agents in the organization.
- 💡 Efficiency: Save time by quickly reviewing key points without reading the entire transcript.
- 🔍 Transparency: Easily track usage and monitor token balance for better control over application resources.
- 💲 Cost-effective: Benefit from the subscription model and accumulated tokens, providing more value for your money.
- ✔️ Accuracy: Trust the app’s accurate summaries powered by OpenAI’s natural language processing technology.
- 📚 Stay up-to-date: The app keeps up with the latest advancements in natural language processing technology.