Headroom vs Sesame

Comparing the features of Headroom to Sesame

Feature
Headroom
Sesame

Capability Features

AI-Generated Artwork
AI-Powered Keyword Tagging
Audio Player
Auto-chapters
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Customizable Playback Buttons
Dark Mode
Dataset Size
1 million hours
Direct Upload to Host
Embed ID3 Tags
Emotional Intelligence
Episode File Organizer
Episode Publishing Status
Evaluation Suite
Export Formats
MP3MP4
Export Transcripts
Generate Episode Metadata
Grammar and Spell Check
Link Preview
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multilingual Transcription
Multiple Speaker Handling
Native macOS Experience
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
On-Device Processing
Partial Multilingual Support Planned
Planned for 20+ languages
Podcast Templates
Pronunciation Correction
RSS Episode Number Detection
Sequence Length
2048
Show Notes Templates
Single-Stage Model
Social Post Generator
Subjective Metrics
Comparative Mean Opinion Score
Summarize Key Points
Text and Audio Input
TextAudio
Timecode in Show Notes
Training Epochs
5
Transcription
Translation
Visual Audio Preview

Integration Features

API Availability
Audio File Format Support
MP3MP4
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Integrations
Apple Podcasts
RSS Feed Support

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
macOS Only
Memory Bottleneck in Training
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Other Features

Future Features Planned

Pricing Features

Free Preview
Open Source
Apache 2.0
Pricing Information Not Provided