ilisten-ai
iListen.ai is an AI-powered transcription and meeting intelligence platform that converts voice recordings, videos, and phone calls into accurate, searchable text. With built-in AI summaries, key poin
What is ilisten-ai?
iListen.ai is a transcription and meeting intelligence platform that converts audio and video recordings into searchable text. The tool uses AI to automatically summarise meetings, extract key points, identify topics, and analyse sentiment across conversations. It supports multiple languages and works with voice recordings, video files, and phone calls, making it useful for professionals who need to document and analyse spoken content. The platform includes collaboration features that let teams share and discuss transcripts together, which is particularly valuable in sectors like law, healthcare, media, and education where accurate records are important.
Key Features
Automatic transcription
converts voice recordings, videos, and phone calls into text with AI accuracy
Meeting summaries
generates concise summaries of conversations and recordings automatically
Key point extraction
identifies and highlights the most important points from transcripts
Sentiment analysis
detects emotional tone and sentiment throughout conversations
Topic identification
automatically categorises and tags discussion topics
Team collaboration
allows multiple users to share, annotate, and discuss transcripts
Pros & Cons
Advantages
- Handles multiple input formats, including phone calls, video files, and audio recordings
- Supports multiple languages, useful for international teams and global organisations
- Freemium model means you can try the tool without immediate cost
- Built-in analysis tools reduce manual work of summarising and reviewing meetings
Limitations
- Accuracy of transcription and analysis may vary depending on audio quality and accents
- Free tier likely has storage or usage limits that could restrict heavy users
Use Cases
Legal teams recording client meetings and depositions for accurate documentation
Medical professionals transcribing patient consultations and clinical notes
Media companies converting interviews and podcasts into searchable archives
Educational institutions recording lectures for accessibility and revision
Business teams documenting sales calls, client meetings, and internal discussions