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.

I appreciate the user interface of AssemblyAI - Speech to Text API, especially the appealing colors and format that make it pleasant to use. The design enhances my overall experience, making the tool more inviting and comfortable to interact with during transcription tasks. This aspect of the API is not only aesthetically pleasing but also functional, contributing to a smoother navigation and usage experience. Moreover, the initial setup process was very easy, allowing me to get started quickly without hassle. This ease of use right from the beginning, combined with an attractive interface, significantly enhances the tool's usability. Additionally, AssemblyAI - Speech to Text API effectively solves my problem with listening, as it helps me jot down notes despite facing hearing issues. This functionality is crucial for me and plays a significant role in supporting my daily transcription needs. Review collected by and hosted on G2.com.

I find the cost of AssemblyAI - Speech to Text API to be high. Review collected by and hosted on G2.com.

I appreciate the anonymous speaker labels provided by AssemblyAI - Speech to Text API, which is crucial for maintaining confidentiality in educational settings like my app, Sound Pedagogy. I find the transcription accuracy to be quite impressive, which is vital for analyzing classroom audio recordings effectively for patterns and trends. Additionally, I find the setup of AssemblyAI - Speech to Text API to be fairly easy, especially since I built my product with Replit, making the implementation process smooth and efficient. Review collected by and hosted on G2.com.

I wish I could completely remove student names from speech. I've tried but the results aren't great. I also wish I could remove or delete the recording once audio is transcribed. Privacy is paramount with my application. 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.

Very accurate transcripts, even with technical terms & noisy audio. Has features of identifying speakers, summarisation, topic detection etc. Good integration/ developer friendly API supports streaming, file uploads, good docs. Scalable even for high volume use cases. Review collected by and hosted on G2.com.

Pricing for heavy usage & advanced features can be relatively high While multilingual, accuracy and features for non English or niche accents is comparatively lesser. Designed primarily for developers / technical users. 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 will be perfect if in Zapier I can choose EU residency. 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.