I like the ease of implementation and the cost of AssemblyAI - Speech to Text API. The initial setup was very easy. Review collected by and hosted on G2.com.

The cost is not very clear and the use of the account is little explored. Sometimes the cost per transcribed hour does not match what is seen on the pricing pages. There is a huge difference in the usage details, for example with OpenAI's APIs. Review collected by and hosted on G2.com.

I find AssemblyAI - Speech to Text API to be highly effective for transcription tasks. Its functionality allows me to seamlessly convert speech into text, particularly highlighting the straightforward nature of this task, which the service handles adeptly. I also appreciate its real-time streaming capabilities, which enhance the efficiency and practicality of the tool for immediate transcription needs. The initial setup of AssemblyAI - Speech to Text API is easy, making it accessible and convenient to integrate into my workflow without any complications. Review collected by and hosted on G2.com.

I experience issues with the speed of AssemblyAI - Speech to Text API, which seems heavy and potentially slows down processes. Review collected by and hosted on G2.com.

Excellent documentation and responsive support that will help you resolve any issues with using the API.

Multiple language support and automatic detection. The ability to upload files directly to their server, which makes it faster than saving them to third-party services.

You pay for usage instead of a subscription, which is very nice. Review collected by and hosted on G2.com.

During my time using the service, I haven't found much that I dislike. The main my issue is that I would like to see support for video files from services such as YouTube directly via a link. Currently, I have to use third-party services to download and process videos from YouTube before sending them to AssamblyAI. Review collected by and hosted on G2.com.

I'm impressed with AssemblyAI's transcription service due to its reasonable pricing. For transcribing 243 hours of audio, I paid only $68. In comparison, Google's Chirp_2 model cost $47 for just 35 hours, which would have totaled $326 for the same 243 hours.

Additional benefits include the ability to separate text by different speakers (English only) and automatic language detection. The API is straightforward to use and was easy to integrate into both Flutter and .NET Core Web applications.

Overall, I'm satisfied with the service and plan to continue using it. Review collected by and hosted on G2.com.

There are some aspects I'd like to see improved. The API response contains too many unnecessary fields that I don't need, which increases loading times. I would also appreciate faster speech-to-text processing speeds and an increase in the maximum duration limit beyond the current 10-hour restriction. Additionally, the slam-1 model only works with English text, and I would like to see this model become internationalized to support multiple languages. Review collected by and hosted on G2.com.

It's easy to use and integrate into my system, the universal pro models are very good Review collected by and hosted on G2.com.

There were some minor problems with queuing/rate limiting even though I thought I never submitted more than 50 concurrent jobs Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

Beyond accurate transcripts, AssemblyAI made it easy to determine each call’s outcome, flag unqualified leads, and capture the exact reason a lead wasn’t qualified. Those structured insights rolled up into useful reports and metrics that our team could act on immediately. The whole process felt simple, reliable, and developer-friendly. Review collected by and hosted on G2.com.

Using the default analysis was not that great, but once I figured out how to use LeMUR I got exactly what I needed. Review collected by and hosted on G2.com.

I appreciate that AssemblyAI offers quick and accurate transcriptions, essential for maintaining compliance within our industry. The diarization feature is beneficial, providing clear speaker differentiation, which aids in compliance documentation. The user-friendly documentation made the setup process straightforward, which coupled with the appealing business insights and aesthetics of the platform, makes it enjoyable to use. The capability to seamlessly integrate with existing systems, like handling S3 links for file locations, significantly streamlines our workflow. Review collected by and hosted on G2.com.

I find it problematic that the diarization feature does not differentiate between real human dialogue and automated call menus. It would be very useful if there were an option to ignore these automated voices or classify them separately, as they often appear as additional speakers in the transcription, which complicates the process for us. This issue requires us to manually remove irrelevant portions, which wastes time and effort. Review collected by and hosted on G2.com.

Assembly's accuracy is strong and on-par or better with many competitors in the space, especially after the launch of Slam-1. LLM Gateway is convenient for transcript summarization. Developer experience is largely strong with some exceptions. New feature releases continue demonstrating value. Review collected by and hosted on G2.com.

Additional language support for Slam-1. Clearer documentation for more complex/specific workflows (Zoom + multichannel). Existing docs only explain how to implement in Python and support is having trouble helping us diagnose our issue. Out-of-the box speaker diarization and speaker labeling could be more accurate. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.