Sesame vs Yescribe.ai

Comparing the features of Sesame to Yescribe.ai

Feature
Sesame
Yescribe.ai

Capability Features

AI Summarization
Background Noise Handling
Consistent Personality
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Dataset Size
1 million hours
Drag and Drop Upload
Emotional Intelligence
Evaluation Suite
Fast Transcription
Industry Solutions
HealthcareLegal & Law EnforcementFinancial ServicesHospitality & TourismTechnology & EngineeringReal Estate
Interactive Dialogue
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Number of Users
100000
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Privacy and Security
Pronunciation Correction
Sequence Length
2048
Single-Stage Model
Smart Transcription Accuracy
99.9%
Subjective Metrics
Comparative Mean Opinion Score
Supported Countries
116
Supported Export Formats
Multiple formats
Supported Language List
98
Text and Audio Input
TextAudio
Total Transcription Hours
125000
Training Epochs
5
Whisper AI Technology

Integration Features

File Formats Supported
MP4MP3WAVMOVFLVAAC
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer

Limitation Features

Cannot Model Conversation Structure
English Language Dominance
Maximum Upload Length
5
Memory Bottleneck in Training
No Pre-trained Language Model Use
Quota or Limits
Not specified
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Tier
Open Source
Apache 2.0