Sesame vs Snipd

Comparing the features of Sesame to Snipd

Feature
Sesame
Snipd

Capability Features

AI Note Taking
AI Summarization
Audio File Upload
Audiobook Support
Automatic Chapters
Book Mentions Discovery
Chat with Episodes
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom AI Prompts
Dataset Size
1 million hours
Emotional Intelligence
Evaluation Suite
Export as Markdown
Guest Information
Hands-free Controls
Headphone Controls
Headphone Snipping
Markdown Export
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multi-language AI Support
25
Multiple Speaker Handling
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Personal Audio Upload
Podcast Player
Pronunciation Correction
Sequence Length
2048
Share Insights
textimageslinkvideo clip
Shareable Quote Cards
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5
Transcripts with Speaker Identification
YouTube Audio Extraction
YouTube Import

Integration Features

Apple Watch Integration
CarPlay Support
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Note-taking App Integrations
NotionReadwiseGlaspObsidianBearLogseq

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Memory Bottleneck in Training
No API Mentioned
No Pre-trained Language Model Use
Platform Limitation
Mobile-centric
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0