AssemblyAI - Speech to Text API Reviews & Product Details

* The accuracy is excellent, even on noisy audio or with multiple speakers. Many of the transcripts required minimal editing.

* Speaker diarisation works reliably — being able to split out who said what is a big plus in multi-person recordings.

* Ease of integration is a standout: the API is well documented, the onboarding is smooth, and I got up and running quickly.

* The pricing model is fair and transparent — you pay for usage rather than being locked into a subscription.

* Advanced features like Word Boost / keyword prompting, PII redaction, and language auto-detection give useful flexibility for real-world use cases. Review collected by and hosted on G2.com.

* The latency/response times can vary under load, which makes it less predictable for real-time needs.

* Customisation is somewhat limited: fine-tuning for domain-specific vocabulary or acoustic quirks isn’t as deep as one might hope.

* The API returns many fields in the response; for simpler workflows, that extra metadata can add overhead.

* The 10-hour audio length limit (for some endpoints) feels restrictive for very long recordings.

* In certain regions (e.g. Europe), some features are either missing or still in development. Review collected by and hosted on G2.com.

AssemblyAI was honestly a breeze to work with. What stood out most for me:

✅ Ridiculously easy to use – The API is straightforward and well-documented. I was up and running in minutes without needing to dig into edge-case docs.

🔧 Effortless integration – Plugged it right into our existing STT pipeline with minimal changes. It felt like it was designed to just fit in.

💸 Cost-effective – It gave us solid transcription quality at a much lower price point compared to other providers, which made it a no-brainer from a budgeting standpoint. Review collected by and hosted on G2.com.

While AssemblyAI overall delivered solid value, there were a couple of areas that fell short for us:

🕒 Inconsistent response times – We noticed variability in transcription latency, especially during higher-load windows. This made it tricky to rely on for real-time-ish workflows.

⚙️ Limited customization – The API didn’t offer much flexibility in tailoring the model to domain-specific vocab or acoustic quirks. If you're working in a niche industry or need fine-tuned accuracy, you're boxed in a bit. Review collected by and hosted on G2.com.

AssemblyAI is one of the best choices for automatically transcribing and analyzing audio. It is very accurate, fast, and easy to use. It has many features and is perfect for developers, tech companies, and anyone who wants to manage large amounts of voice data automatically. With the API system, you can create your own software and customize it as you wish. I use the APIs with my own program in Python.

Strengths

Accuracy: among the best accuracy rates in the industry, with a very low Word Error Rate (WER) and consistent performance even on complex audio.

Speed: asynchronous transcription in less than 45 seconds and real-time with latency under 600 ms.

Developer experience: well-documented API, easy to integrate, with practical examples and effective technical support.

Versatility: suitable for both simple use cases (webinar transcription, meetings, podcasts) and complex workflows (sentiment analysis, entity extraction, content moderation).

Accessibility: competitive pay-as-you-go pricing, with no hidden costs. Review collected by and hosted on G2.com.

I can't say I've found any problems with the system. Excellent and reliable. The best. Review collected by and hosted on G2.com.

AssemblyAI has transformed how I interact with voice data. The platform is intuitive and incredibly easy to integrate with both low-code automation tools and custom workflows. Its accuracy has often exceeded my expectations, making it perfect for various business needs. I particularly appreciate the clear pricing – it's fair for the value you get, and the cost-benefit is excellent. Support from their team has always been fast and thorough whenever needed. I really like the product. I find it very good. The price is fair, if it were cheaper it would be better, but it's fine. I really like the product. I find it very good. The price is fair, if it were cheaper it would be better, but it's fine. AssemblyAI speech to text API is really easy to use; I’m not a tech profile and I use it both with automation platforms (such as Zapier) and custom code. It is cheap, for some use cases it costs almost nothing! (For example: understanding voicemail). And, with the latest model, it is very accurate. Review collected by and hosted on G2.com.

It would be better if the cost were even lower, but it's fine as it is. It would be better if the cost were even lower, but it's fine as it is. It will be perfect if in Zapier I can choose EU residency. 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.

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.

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.