AssemblyAI Reviews

I like AssemblyAI because it provides accurate transcriptions, easy API integration, and useful features like speaker detection and summaries that save significant development time.

The pricing can become expensive at higher usage levels, and transcription accuracy occasionally drops with poor audio quality or strong background noise.

AssemblyAI automatically converts audio into accurate text, saving me hours of manual transcription and making it much easier for me to build speech-based applications and workflows.

I work as a Dietician and Nutritionist, manage a homeopathy clinic, create health education content for social media, and also prepare educational and awareness material. What I like best about AssemblyAI is that it helps convert spoken content into text in a simple and organized way. It reduces the time spent manually reviewing recordings and makes it easier to work with audio content in a written format. The generated transcripts are usually easy to review, edit, and use further for different types of content. I have used it when working with health education recordings, informational audio content, and other spoken material that needs to be reviewed in written form.

One thing I find useful is that it supports both streaming and pre-recorded audio transcription. This gives flexibility depending on the type of content being processed. The transcription quality has been good during my use, and the generated text is usually easy to review and work with. Features such as speech to text, language detection, transcript generation, and audio processing help reduce the time that would otherwise be spent manually typing or reviewing recordings.

I really like how accurate AssemblyAI - Speech to Text API is in transcribing calls, even handling tougher accents like Irish very well. The ease of connecting it to my API makes the process of sending recordings for transcription super easy. I also found the initial setup to be super easy; I just needed to copy-paste an API key, and I was good to go. The $50 of included credits was brilliant as well.

I don't have too much criticism, to be honest. The only thing that I can think of is transcription were a tiny bit better. It's already way better than other models that I've tried. But there's always room for improvement with transcriptions, particularly with more difficult accents.

I use AssemblyAI - Speech to Text API to transcribe calls accurately, even with tough Irish accents. It makes connecting recordings easy and improves transcription accuracy in my workflow.

What I like best about AssemblyAI - Speech to Text API is its high transcription accuracy and developer-friendly integration. The API delivers reliable results even with different accents and noisy audio, which is very important for real-world applications. I also appreciate the fast processing speed and features like automatic punctuation, speaker diarization, and summarization, which save a lot of development time.

Another major advantage is how easy it is to integrate into apps. The documentation is clear, and the API works smoothly with modern tech stacks. It has significantly improved my workflow by automating transcription and reducing manual effort. Overall, it’s a powerful and scalable solution for building AI-based audio applications.

One downside of AssemblyAI - Speech to Text API is that pricing can become expensive at scale, especially for apps with high audio usage. While the accuracy is generally strong, it can still struggle with heavy background noise, multiple speakers talking simultaneously, or strong regional accents.

I like how easily the AssemblyAI - Speech to Text API can be used and applied in real-life scenarios. Despite not being a coder, setting it up was very easy for me, which was the game-changing aspect. I wasn't initially aware of how to use an API or handle many calls simultaneously, but with AssemblyAI, I was able to set up the whole thing on my own and use it quite efficiently.

I use AssemblyAI - Speech to Text API to get the transcription and OpenAI API for analysis of that transcription, and I feel the same thing can be added in AssemblyAI. It can be very helpful where it gives me the capability to ask questions directly from the transcription. They can add a model which analyzes the transcripts and then gives me the analysis based on the prompt I give; that would be game-changing.

I use AssemblyAI - Speech to Text API to analyze sales calls, track employee performance, and improve my sales pitch, increasing my revenue by over 20%. It replaced manual call reviews and provides actual conversion probabilities.

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.

The billing is a bit annoying. The usage pricing has its pros and cons.

I use AssemblyAI - Speech to Text API to easily turn an audio file into an accurate transcript.

.It's easy to use and integrate into my system, the universal pro models are very good

There were some minor problems with queuing/rate limiting even though I thought I never submitted more than 50 concurrent jobs

We're building a voice agent and

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.

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.

AssemblyAI - Speech to Text API provides high accuracy, low-cost transcription. It allows us to easily transcribe content, and the company is proactive and responsive, building alongside us.

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.

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.

AssemblyAI - Speech to Text API makes it faster and pretty reliable to get accurate timestamps.

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.

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.

AssemblyAI - Speech to Text API saves me tons of time by converting call recordings into diarised transcripts for compliance checks, replacing slow manual review processes.