TheySaid 3.0 vs VibeVoice: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of TheySaid 3.0 and VibeVoice — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
.png){kind=small}
TheySaid 3.0
TheySaid
Turn single-question surveys into real-time conversational surveys to boost engagement and surface richer insights.
Key features
- Conversational Survey Conversion: Transforms single-question surveys into AI-driven multi-turn conversations that probe respondents with contextual follow-ups to gather richer qualitative data.
- Real-time Engagement: Dynamically adapts follow-up prompts based on answers to keep respondents engaged and reduce drop-off during the survey experience.
- Automated Insight Extraction: Aggregates and summarizes responses, surfaces recurring themes and sentiment, and highlights actionable findings for faster analysis.
- Intelligent Question Generation: Generates clarifying and targeted follow-up questions tailored to each respondent’s answers to obtain deeper context and reasons.
- Response Analytics Dashboard: Provides aggregated views, filters, and breakdowns (e.g., sentiment and themes) to help teams interpret results quickly.
- Export & Integration: Enables exporting response data and integrating survey outputs with downstream analytics or research workflows for further analysis.
- Conversational AI Surveys that adapt follow-up questions based on responses
- AI Interviews to automate in-depth user interviews
- AI Pulses and Polls for single-question feedback and follow-ups
- Question recommendation and auto-generation from website content
- Embedding and delivery via existing channels
- AI-driven summarization of responses and insights
- Convert single-question surveys into interactive, AI-driven conversations
- Real-time capture of conversational survey responses
- Smart conversational survey design to boost respondent engagement
- Automated analysis and extraction of insights from conversational responses
- Web-based survey creation and results dashboard
Best for
- Converting NPS/CSAT single-question prompts into conversational flows to collect reasons, suggestions, and context behind scores for better actionability.
- Market research that requires scalable qualitative feedback by turning short surveys into richer interviews to surface customer needs and motivations.
- Customer support and feedback collection that triages issues via guided conversation and captures exact user language and sentiment for product teams.
- Employee pulse and HR surveys that solicit candid explanations and suggestions while maintaining higher completion rates through conversational engagement.
- Product discovery and usability testing to gather in-depth user reactions, feature requests, and pain points from compact, conversational surveys.
- Collecting product and UX feedback via conversational surveys
- Automating user interviews to surface deeper insights
- Running NPS/CSAT/CES pulses with follow-up probing
- Embedding surveys across websites and apps to increase engagement
- Conducting user tests and polls with AI follow-ups to understand reasons
- Customer feedback collection with richer qualitative responses
- Market research using conversational probes to uncover insights
- Product feedback and user experience surveys
- NPS and satisfaction measurement with follow-up conversational context
- Employee engagement and pulse surveys
V
VibeVoice
Microsoft
Microsoft's open-source frontier voice AI family with long-form multi-speaker TTS and 60-minute single-pass ASR with speaker diarization.
Key features
- Long-Form Multi-Speaker TTS: Generates up to 90 minutes of conversational speech with up to 4 distinct speakers in a single pass.
- 60-Minute Single-Pass ASR: VibeVoice ASR ingests up to 60 minutes of audio in a 64K context, preserving speaker tracking and semantic coherence.
- Rich Transcription Output: Jointly performs ASR, diarization, and timestamping, producing structured Who/When/What transcripts.
- Customized Hotwords: Accepts user-specified names, technical terms, and background info to boost domain-specific recognition accuracy.
- Ultra Low-Frame-Rate Tokenizers: Continuous acoustic and semantic tokenizers at 7.5 Hz preserve fidelity while cutting compute for long audio.
- Real-Time Streaming TTS: VibeVoice-Realtime-0.5B supports streaming text input with 20 voices across 9 languages including English.
- Edge CPU Inference: VibeVoice ASR BitNet compresses the model to 1.58 GB for real-time RTF<1 inference on 3+ CPU threads with no GPU.
- Azure AI Foundry Integration: VibeVoice ASR is available in Azure AI Foundry Labs and via the Hugging Face Transformers library.
Best for
- Podcast and Audiobook Production: Generate 90-minute multi-speaker conversational audio without cutting and stitching short clips.
- Meeting Transcription: Produce structured Who/When/What transcripts of hour-long meetings in one pass with speaker diarization.
- Multilingual Voice Interfaces: Add streaming real-time TTS in nine languages to consumer and enterprise applications.
- Domain-Specific ASR: Feed customized hotwords into VibeVoice ASR to accurately transcribe medical, legal, or technical audio.
- Edge Speech Recognition: Deploy the BitNet CPU variant for accurate transcription on devices without GPUs.
- Speech AI Research: Fine-tune the open-source models or use the released ASR/TTS reports as a baseline for new research.