Podsqueeze vs Sesame

Comparing the features of Podsqueeze to Sesame

Feature
Podsqueeze
Sesame

Capability Features

AI Audio Enhancement
Blog Post Creation
Clip and Audiogram Creation
Consistent Personality
Content Sharing
Context Awareness
Conversational Dynamics
Conversational Speech Generation
Custom AI Voice Design
Dataset Size
1 million hours
Emotional Intelligence
Episode Folder Organization
Evaluation Suite
Export to SRT
Manual Work Reduction
Save up to 100% of manual work
Model Sizes
Tiny: 1B backbone, 100M decoderSmall: 3B backbone, 250M decoderMedium: 8B backbone, 300M decoder
Multiple Speaker Handling
Multiple User Types Supported
Content CreatorsPodcast ManagersProducers & StudiosAgencies
Newsletter Generation
Objective Metrics
Word Error RateSpeaker SimilarityHomograph DisambiguationPronunciation Consistency
One Click Shorts
Partial Multilingual Support Planned
Planned for 20+ languages
Podcast Topics Finder
Podcast Website Creation
Prompt-Based Content Tuning
Pronunciation Correction
Remove Silences and Fillers
Sequence Length
2048
Show Notes Generation
Single-Stage Model
Social Media Post Creation
Subjective Metrics
Comparative Mean Opinion Score
Text and Audio Input
TextAudio
Text-Based Editing
Training Epochs
5
Transcription Generation

Integration Features

Export Formats
SRT
GitHub Release
LLama Architecture Backbone
Mimi Split-RVQ Tokenizer
Platform Integration
TikTokInstagramYouTube Shorts
Podcast RSS Feed
YouTube Integration

Limitation Features

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

Other Features

Affiliate Program
Masterclass Podcast
Resource Blog

Pricing Features

Free Preview
Free Tier
No Credit Card Required
Open Source
Apache 2.0
Pricing Plans
Trial Period