I find the AssemblyAI - Speech to Text API very reliable, especially when it comes to the German language. It processes the German language accurately and is among the services with the highest accuracy in this area. Although it is sometimes a bit slow, everything else works quite well. Review collected by and hosted on G2.com.

Actually, mainly just speed, sometimes it could be a bit faster. And mainly perhaps continue working on the quality of the transcripts. Right. Especially when, for example, industry-specific or company-specific terms are mentioned, like certain names of people or names of projects or products or so, which occur more frequently. That one would have the possibility for the SMLD to basically recognize these terms more accurately. Especially in the German language. Review collected by and hosted on G2.com.

The integration pathways & model updates are seamless. Transcription quality is solid for the nuances of our industry to catch specific words that are less common Review collected by and hosted on G2.com.

Model pricing and subscription options are fairly limited with explanations and plans Review collected by and hosted on G2.com.

I am really happy with AssemblyAI - Speech to Text API because it supports many languages with accurate results. My app on the app store uses AssemblyAI's API, and it has over 10k active users who benefit from the multilanguage support and speaker detection it provides. Previously, I used Deepgram, but it did not support 100+ languages, unlike AssemblyAI, which also has built-in translation support. I find the initial setup very easy, using their JavaScript SDK on my Node.js server with just maybe 5-10 lines of code. Review collected by and hosted on G2.com.

The Speech to Text API is working great, but I think they need to support summarization for all languages. Currently, it only supports English. Review collected by and hosted on G2.com.

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.

I use AssemblyAI - Speech to Text API to transcribe audio files and I find the process smooth. The API calls rarely fail, with only one out of 2000 failing, which is pretty impressive. I also appreciate that it can detect languages and speakers, which is quite handy. Even though the initial setup wasn't too difficult, the API documentation really helped streamline the process. Although I don't have much experience with similar services, I'd rate it a 10 for someone with similar needs. Review collected by and hosted on G2.com.

I hope it is able to detect multiple languages within the same audio better. We have the situation that there could be more than one language spoken. Review collected by and hosted on G2.com.

I use the AssemblyAI - Speech to Text API to transcribe phone call recordings. It makes it easy to turn an audio file into an accurate transcript, which I find very beneficial. I like the simplicity of the API; it makes integration straightforward. Additionally, I'm impressed with the quality of the outputs. The initial setup was very easy, which was a pleasant surprise. Review collected by and hosted on G2.com.

The billing is a bit annoying. The usage pricing has its pros and cons. 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 love the simplicity of integrating AssemblyAI - Speech to Text API and how well it works. The API's accuracy and its ability to switch automatically between different models based on language detection are impressive. Additionally, I appreciate the reliability and speed in obtaining accurate timestamps. The support for 99 languages and the accuracy across different languages is another aspect I really enjoy. Review collected by and hosted on G2.com.

I would love to see more language support for the latest model. I also wish there was a closed captioning service out of the box with tags for laughter and other sounds. Review collected by and hosted on G2.com.

I use AssemblyAI - Speech to Text API for transcribing long-form therapy sessions. It's highly accurate and offers better cost compared to their competitors. The company is quite proactive and responsive, often building alongside us. We migrated from a different provider, and the setup was pretty simple, taking less than a week. They made it pretty intuitive. Review collected by and hosted on G2.com.

I'd like more configurability around diarization. Right now, it's a little limited on the transcribing side, and it could be a bit more accurate. 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.