I appreciate AssemblyAI - Speech to Text API for its consistency in terms of time performance and qualities. This consistency serves my purpose well. I also value the new diarization feature, which matters a lot to me. Compared to Deepgram, AssemblyAI does a fairly good job with transcription. Review collected by and hosted on G2.com.

I got error multiple times using the sentiment analysis feature. Also, it sometimes doesn't pick up faint voices or someone speaking from a distance. 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.

I like that AssemblyAI - Speech to Text API is very fast and easy to use. Our users are uploading large volumes of video files, so the ability to quickly upload audio, analyze it, and send it back is essential for us. This speed is particularly beneficial for our app. Setting up was very easy as well. Review collected by and hosted on G2.com.

The issue that I have is that although there's information you can give for pretraining or giving it information before it does the transcript, I don't really have a workflow for that. Review collected by and hosted on G2.com.

I use AssemblyAI - Speech to Text API to transcribe our call center's phone call recordings into diarized transcripts, and it solves my QA problem efficiently. It's quicker and cheaper than OpenAI Whisper, and the diarization is almost perfect, way better than others. The initial setup was very easy, and it's integrated seamlessly with a custom app I've built that performs QA on our call recordings. Review collected by and hosted on G2.com.

Don't really dislike anything. But I could use a feature that converted text to speech so that I could create voice recordings of lengthy terms and conditions so my sales people can play those recordings to customers instead of reading them out manually. Currently I'm using eleven labs for that feature. 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.

The API and SDKs are very developer-friendly, and the documentation is clear and easy to follow. Features like speaker diarization, timestamps, summarization, and entity detection are available, and I’ve found them genuinely useful. Review collected by and hosted on G2.com.

The main downside for me is that, compared to Speechmatics, AssemblyAI can be weaker in some multilingual or heavily accented audio cases. Pricing can also add up quickly when using advanced features at scale. 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.