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Using AssemblyAI to get podcast episodes transcripts
What do you like best about the product?
I use AssemblyAI to get transcripts of my podcast episodes, and the accuracy is pretty good.
The timestamp associated with each word allow us to easily make a connection with the podcast audio and jump right where we need.
Customer support has been great.
The timestamp associated with each word allow us to easily make a connection with the podcast audio and jump right where we need.
Customer support has been great.
What do you dislike about the product?
Nothing to complain.
Sometimes it's a bit tricky when the podcaster say the spelling of the promo code he uses.
For example, if the promocode is SUMMER. I may get S-U-M-M-E-R, which is not easy to work with. But I it's an edge case.
Sometimes it's a bit tricky when the podcaster say the spelling of the promo code he uses.
For example, if the promocode is SUMMER. I may get S-U-M-M-E-R, which is not easy to work with. But I it's an edge case.
What problems is the product solving and how is that benefiting you?
Get the podcast episodes transcript, associating each word with a timestamp.
Give lot of insight to what podcasters are saying and how are promoting our promo codes
Give lot of insight to what podcasters are saying and how are promoting our promo codes
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a great solution to build into your product
What do you like best about the product?
We recently started using the AssaemblyAI api to transcribe videos from our educational channels. The API works quickly and reliably. So far we have never encountered any limitations of the platform, although our videos are quite large. The quality of recognition is very high, the price is about the same as with OpenAI analogs, but there is no limit of 25 minutes per video fragment.
What do you dislike about the product?
I wish the price was even lower, we have so many more videos to process. Also it is not quite clear how formatting into paragraphs works, according to the api we get exactly the text without paragraphs, although in the version available for free through the interface, the recognized text is already formatted
What problems is the product solving and how is that benefiting you?
We are using the AssaemblyAI api to transcribe videos from our educational channels to build RAG system
AssemblyAI does a good job with transcription
What do you like best about the product?
I am a college professor and used the AssemblyAI speech-to-text API for a qualitative research project. I had hundreds of interviews in a non-English language that needed to be transcribed. AssemblyAI solved my problem fairly easily. It cost me a lot less than what I anticipated. The transcriptions were very accurate and included the special characters in that language.
There are plenty of videos and sources for those who are new to AssemblyAI.
I could not be happier.
There are plenty of videos and sources for those who are new to AssemblyAI.
I could not be happier.
What do you dislike about the product?
I did not have anything specific that I disliked about AssemblyAI.
What problems is the product solving and how is that benefiting you?
AssemblyAI transcribes audio files fairly easily. As a researcher that uses interviews as data, it makes my job a lot easier.
Easy to use speech to text solution
What do you like best about the product?
Their documentation was very easy to work with. I was able to hit the ground running within minutes.
What do you dislike about the product?
Faster transcription would be appreciated.
What problems is the product solving and how is that benefiting you?
Transcribing meeting transcripts that we’ll later to capture insights.
Best Speech-to-Text Service Overall
What do you like best about the product?
AssemblyAI is seriously impressive. Before I found it, I tried out Google Cloud, Whisper, and some open-source tools for diarization. I even gave Read.ai a shot, but honestly, none of them gave me the results I was looking for.
Then I saw someone mention AssemblyAI on Reddit, and I decided to give it a try. I’m so glad I did—their transcription and diarization are on another level. I barely ever need to edit the transcripts, which is rare with these kinds of tools.
The pricing is super reasonable for what you get, and the API is really flexible. I’ve been able to build my own workflows to transcribe meetings, interviews, and videos without any hassle. I use it pretty much every day for transcribing meetings I record on my computer, and I save everything in Markdown format.
If you’re looking for a solid, reliable transcription service that just works, I can’t recommend AssemblyAI enough.
Then I saw someone mention AssemblyAI on Reddit, and I decided to give it a try. I’m so glad I did—their transcription and diarization are on another level. I barely ever need to edit the transcripts, which is rare with these kinds of tools.
The pricing is super reasonable for what you get, and the API is really flexible. I’ve been able to build my own workflows to transcribe meetings, interviews, and videos without any hassle. I use it pretty much every day for transcribing meetings I record on my computer, and I save everything in Markdown format.
If you’re looking for a solid, reliable transcription service that just works, I can’t recommend AssemblyAI enough.
What do you dislike about the product?
It's not that I don't like but I think there is high bareer for non-techs to access the serviece. I know tht they ahve a playground, but it's still scary for peop,e who want to use the service but see the. Some friends who see my workflow wants to mimic but stop when they see the api nterface. The docs are very well detailed, but there are barreres for adoption for certain customer segments still.
Another thing that I would like would to store the cluster of voicers that are recorded I would like the odel to automatically name them. I think this would be too complicated and probably there's privacy concerns involved. But it would be a quality of life approach. But I guess this is a niche need instead of something the custoemr base would be interested at
Another thing that I would like would to store the cluster of voicers that are recorded I would like the odel to automatically name them. I think this would be too complicated and probably there's privacy concerns involved. But it would be a quality of life approach. But I guess this is a niche need instead of something the custoemr base would be interested at
What problems is the product solving and how is that benefiting you?
AssemblyAI is solving the problem of turning audio into accurate, structured text—especially with speaker diarization and high transcription quality. It saves me a huge amount of time. I use it to transcribe meetings, interviews, and video content recorded locally on my computer, and the results are so good I rarely need to edit them. Having access to a reliable API also means I can fully automate my workflow and store the transcripts in Markdown, exactly the way I need. It’s made transcription effortless and consistent, which is a big deal for someone who works with audio content daily.
A cutting edge speech to text service
What do you like best about the product?
There were 2 things we were looking for when evaluating speech to text APIs:
1) Quality of the speech to text (the most important thing)
2) Speed of the speech to text
3) Documentation / ease of use.
And after using this service for a few months now, AssemblyAI knocks all 3 out of the park.
1) Quality of the speech to text (the most important thing)
2) Speed of the speech to text
3) Documentation / ease of use.
And after using this service for a few months now, AssemblyAI knocks all 3 out of the park.
What do you dislike about the product?
The one thing we are having slight issues with is speaker diarization with more than 10 speakers. Honestly, it's a bit of an edge case, but something it doesn't do great with all the time. Anything under that though hasn't been an issue, and that's the vast majority of our use case
What problems is the product solving and how is that benefiting you?
It creates transcripts for video interviews we conduct on our site.
Excellent quality transcribing
What do you like best about the product?
The quality of text it produces even from low quality videos with many speakers and in non-English languages and the ability to accurately identify speakers.
What do you dislike about the product?
The price is kind of high per hour of transcription, can be costly for long videos.
What problems is the product solving and how is that benefiting you?
Clear, accurate transcribing with punctuations and semantic order. Identifying speakers.
Works well
What do you like best about the product?
It works well and is pretty accurate in usage. Using LeMUR summaries is great and works well but needs a defined prompt based on the use case. Can return multiple formats which is great. LeMUR responses return fairly quick and are easy to set up.
What do you dislike about the product?
Takes a moment to start up and sometimes punctuation could be better, it often breaks sentences up into smaller bits.
Setting up websockets for streaming is quite difficult due to many parts.
Setting up websockets for streaming is quite difficult due to many parts.
What problems is the product solving and how is that benefiting you?
In our use case, it allows our financial advisers to have a natural conversation with a client and transcribe the whole thing. With lemur summaries we can prompt to answer specific information from the meeting.
Best in class speech transcription
What do you like best about the product?
AssemblyAI's transcription service is easy to setup and use, while being extremely stable for month.
What do you dislike about the product?
Nothing comes to mind. I would like more regular information how it compares to competitors as this is a fast moving market.
What problems is the product solving and how is that benefiting you?
Transcription of video calls
Best-in-Class Speech-to-Text Solution
What do you like best about the product?
The exceptional accuracy, even with challenging audio and technical terminology, combined with their developer-friendly API that integrates seamlessly. Advanced features like speaker diarization and content moderation provide tremendous value beyond basic transcription.
What do you dislike about the product?
Integration with complex database systems like VertexDB can be challenging and requires additional development effort. The response latency can sometimes be longer than expected, especially when processing large audio files, which can impact real-time applications that require immediate transcription results.
What problems is the product solving and how is that benefiting you?
AssemblyAI is solving our critical need for accurate and scalable speech-to-text capabilities in our clone platform. By implementing their API, we've eliminated the resource-intensive task of developing our own transcription engine while gaining enterprise-grade accuracy. This has significantly accelerated our development timeline and allowed us to focus on our core platform features while providing users with reliable transcription services for audio content analysis and searchability.RetryClaude can make mistakes. Please double-check responses.
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