AssemblyAI - Speech to Text API Reviews & Product Details

I really appreciate the accuracy of AssemblyAI - Speech to Text API; its transcription quality is excellent even with challenging audio and speech patterns, which is critical for us. The participant segmentation feature is invaluable because it automatically identifies and separates different speakers, helping us track agents' SOPs. I also like the multi-language support, which allows us to serve a diverse customer base seamlessly. The scalability of AssemblyAI is a big plus as well, as it handles our growth volumes seamlessly. Additionally, the API is easy to use, and the setup process was super quick, taking us only about 30 minutes from account creation to usage. Review collected by and hosted on G2.com.

I would like some more insights into the transcription, like more metadata on the call. Sentiment analysis and decision-point insights would significantly augment the capabilities of AssemblyAI - Speech to Text API for us. Review collected by and hosted on G2.com.

* 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 use AssemblyAI - Speech to Text API predominantly for transcribing phone calls, and I find it extremely valuable for its ability to accurately create these transcripts. What stands out the most for me is the API's impressive speed and ease of access, which tremendously enhances my productivity by allowing quick and straightforward use. Additionally, the seamless and almost instantaneous initial setup adds to the overall convenience, making it a very user-friendly tool. I've observed significant improvements in speed and accuracy compared to other solutions, like OpenAI Whisper, which were pivotal factors in my decision to switch. The cost-efficiency of AssemblyAI also plays a crucial role in its appeal to me, providing excellent value without compromising on performance. Overall, it’s a product I readily recommend to colleagues, having already done so, and I rate it a solid 10 out of 10. Review collected by and hosted on G2.com.

The speaker differentiation is not great, and it can sometimes be very difficult to distinguish speakers on a phone call. 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.

I like the quality of AssemblyAI - Speech to Text API, especially how perfect it is in English and pretty good in Hebrew compared to Google Cloud STT which was very bad. The ease of integration was also a big plus as it was easy for us to incorporate it into our system, unlike Gemini and others. The price for transcribing is much cheaper too, making it a cost-effective choice for us. Review collected by and hosted on G2.com.

I want better Hebrew transcription and even Yiddish support, and the ability to stream for these languages. 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.