AssemblyAI
text-to-speech built for voice agents Discussion | Link
以下正文同步自 Product Hunt,版权归原站所有,已转换为易读排版。
Based on 34 reviews
Review AssemblyAI?
Leave a review
Reviewers mostly praise AssemblyAI for accurate transcription, strong formatting of names and numbers, and developer-friendly APIs and docs that make it quick to test and ship. Users also call out useful extras like Auto Chapters and sentiment analysis, while founders of IFTTT, ClinicFrame, and Nugget AI say it helps them summarize audio, handle medical conversations, and run low-latency streaming with solid speaker separation. Criticism is limited but notable: one user disliked billing friction, and another couldn’t fit its async approach into a synchronous app.
+31
Summarized with AI
Pros
Cons
ReviewsAll Reviews
Most Informative
View all
Pros
accurate transcription (12)
transcription API (6)
easy integration (5)
excellent documentation (3)
sentiment analysis (3)
content moderation (2)
fast performance (2)
multilingual support (2)
What do you think? …
Login to comment
Harnoor SinghAssemblyAI
Hunter
📌
Excited for our first text-to-speech model!!
UpvoteReport
Share
20h ago
Oleksii SekundantSonOf
For voice agents, I'd be interested in how a sentence ends when the user interrupts. That's where the handoff between listening and speaking becomes very noticeable.
UpvoteReport
Share
9h ago
Jeroen @ CompleteAiTraining.com
•24 reviews
What's great
accurate transcription (12)
Universal 2 addresses the part that makes transcripts actually usable: getting names, numbers, and formatting right automatically. The 24% improvement in proper noun recognition and 21% gain on numerical data are not just benchmark wins - they translate directly into transcripts that need significantly less manual cleanup.
What stands out is the formatting layer. Handling punctuation, casing, email addresses, and monetary amounts consistently means the output is ready to work with immediately, not just technically correct. For anyone processing call recordings, meeting transcripts, or interview audio at any volume, that reduction in editing time compounds quickly.
The free tier makes it straightforward to evaluate before scaling, which is the right approach for a tool that lives or dies by how it performs on your specific data.
We also reviewed Universal 2 on our platform https://www.producthunt.com/products/completeaitraining-com — where we list and categorize 7,000+ AI tools for different jobs and skills.
Reliability
Value for money
Customization
HelpfulShare
Report
73 views7mo ago
Lex Valo
•1 review
What's great
accurate transcription (12)
Great speech recognition model. The only reason I couldn't use it was that it's asynchronous, while my application was already built around a synchronous architecture, and I didn't want to redesign it.
That said, I was genuinely impressed with the quality. Excellent accuracy at a great price. I've tested many speech recognition models, so I have plenty to compare it with.
Reliability
Value for money
Customization
HelpfulShare
Report
37 views4mo ago
Jay Shah
•8 reviews
AssemblyAI isn’t just a transcription engine—it’s a full-fledged audio intelligence platform. With top-tier accuracy, rich audio features, real-time capabilities, scalable APIs, and rapid innovation, it's an incredible asset for anyone working with voice/video data.
If you're a developer, podcaster, researcher, or enterprise looking to build or analyze audio at scale, AssemblyAI is absolutely worth exploring.
What's great
accurate transcription (12)real-time transcription (1)rich audio features (1)scalable APIs (1)
Helpful (1)Share
Report
151 views1yr ago
{"@context":"https://schema.org","@type":"Product","@id":"https://www.producthunt.com/products/assemblyai","review":[{"@type":"Review","@id":"https://www.producthunt.com/products/assemblyai/reviews?review=486684","itemReviewed":{"@id":"https://www.producthunt.com/products/assemblyai"},"reviewRating":{"@type":"Rating","ratingValue":5,"bestRating":5,"worstRating":1},"positiveNotes":{"@type":"ItemList","itemListElement":[{"@type":"ListItem","name":"Universal 2 addresses the part that makes transcripts actually usable: getting names, numbers, and formatting right automatically. The 24% improvement in proper noun recognition and 21% gain on numerical data are not just benchmark wins - they translate directly into transcripts that need significantly less manual cleanup.
What stands out is the formatting layer. Handling punctuation, casing, email addresses, and monetary amounts consistently means the output is ready to work with immediately, not just technically correct. For anyone processing call recordings, meeting transcripts, or interview audio at any volume, that reduction in editing time compounds quickly.
The free tier makes it straightforward to evaluate before scaling, which is the right approach for a tool that lives or dies by how it performs on your specific data.
We also reviewed Universal 2 on our platform https://www.producthunt.com/products/completeaitraining-com — where we list and categorize 7,000+ AI tools for different jobs and skills.
Great speech recognition model. The only reason I couldn't use it was that it's asynchronous, while my application was already built around a synchronous architecture, and I didn't want to redesign it.
That said, I was genuinely impressed with the quality. Excellent accuracy at a great price. I've tested many speech recognition models, so I have plenty to compare it with.
正文由 探How 从来源站点 RSS 同步,内容未经改写;遇到排版缺失或需要图片、视频时请以原文为准。