EchoPod vs Sesame

Comparing the features of EchoPod to Sesame

Feature
EchoPod
Sesame

Capability Features

AI Article-to-Podcast
AI Script Generation
AI Voice Generation
Automatic RSS Publishing
Background Music Matching
Brand Tailoring
Consistent Personality
Content Optimization
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom Voice Library
Custom Workflow Automation
Dataset Size
1 million hours
Email Content Submission
Emotional Intelligence
Evaluation Suite
Exclusive Music Packages
Fair Voice Actor Agreements
Link Following
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
No Studio Required
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
Partial Multilingual Support Planned
Planned for 20+ languages
Podcast Modes
NarrativeDiscussion
Professional Voiceover Quality
Pronunciation Correction
Seamless Distribution
Sequence Length
2048
Single-Stage Model
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Training Epochs
5

Integration Features

GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Podcast Integration
Apple PodcastsSpotify

Limitation Features

API Access
Cannot Model Conversation Structure
English Language Dominance
File Formats Supported
Manual Editing
Memory Bottleneck in Training
No Mentioned Upload Limit
No Pre-trained Language Model Use
Real-Time Generation Delay
RVQ time-to-first-audio scales poorly

Pricing Features

Free Preview
Free Trial
Open Source
Apache 2.0