AssemblyAI Reviews

AssemblyAI serves as my primary tool for transcription processes. Whenever discussions are completed, I use it to create transcripts for sessions so that I can deliver errorless files to my clients.

I have a specific case study that demonstrates how I use AssemblyAI in my workflow. I was working on a project that required AI moderation along with transcriptions, and AssemblyAI played a major role in delivering the project. We had interviews completed with our experts, and I needed to create a report and consolidate the data from those interviews. I used AssemblyAI to create a clear and high-quality transcript to share with the client. Using AssemblyAI has worked exceptionally well for me because it has helped my team input very little effort to check for quality. This was a project where AssemblyAI proved to be truly helpful. We complete these types of projects regularly, primarily around three to four projects per month, and every project includes AssemblyAI. I am a big fan of AssemblyAI.

The most important feature I appreciate is that once I upload my file, it automatically generates a high-quality transcript by removing all unnecessary words and language-hearing errors, which I cannot obtain from any other software. AssemblyAI pre-qualifies the transcript and already performs a good quality check. Regarding the credibility and accuracy of AssemblyAI, I believe it has excellent accuracy of around ninety-two to ninety-five percent. The remaining five percent still needs work in this area, but ninety-five percent is very good from my perspective.

AssemblyAI has impacted my organization positively by increasing credibility, accuracy, and productivity.

My productivity has improved significantly with substantial time savings. It is faster than when we were transcribing manually. It used to take us around four to five hours to transcribe a single file, but with AssemblyAI, I complete it within an hour, including all quality checks and the entire process. That is a great advantage for me.

AssemblyAI needs to be more accurate, particularly with regard to spelling. For example, drug spellings are sometimes very illogical or misspelled, and this can be improved. Healthcare terms, specifically drug terms related to the medical field, drug products, or chemical products, are sometimes misspelled.

I have been using AssemblyAI for my transcriptions for over one and a half years.

AssemblyAI's governance and security are very secure to use. I do not have extensive knowledge about governance and security, but overall security is great from AssemblyAI, particularly regarding my files and confidentiality.

I deploy AssemblyAI as my personal choice. I do not know if many people are using it, but I prefer AssemblyAI.

For AssemblyAI, I work only offline with this tool. I do not save my files on the cloud; I simply take the transcript, download it to my computer, and then work accordingly.

I would definitely recommend giving AssemblyAI a chance, and you will appreciate it.

My overall rating for this review is nine out of ten.

I have used AssemblyAI for audio transcription and audio diarization, particularly in the ClipMatters project, a video intelligence platform, by hitting AssemblyAI API and polling my application jobs to get the response as soon as possible.

My main use case is audio transcription and diarization. I have also tried to generate voice prints through AssemblyAI, but it cannot, so I have used Pyannote AI for video voice prints generation.

I have only used it for audio transcription and audio diarization, with the best points being its long-lasting job, its ability to process long audio files, and that it cannot block any job and performs very well.

AssemblyAI impacts my system very well and performs excellently; my users have provided good feedback because I am using AssemblyAI for video transcription and diarization, and it is very fast. User growth has been excellent, and I have generated a lot of money from this project, which I am now bringing to enterprise level and wanting to use AssemblyAI for further tasks.

Pricing is excellent and cheaper than other platforms; I think AssemblyAI has an upper hand at this point with its pricing.

I want to add that AssemblyAI should have a feature for voice prints generation, allowing developers or users to provide voice prints for matching with audio of a video to give diarization data and transcription data about who is speaking.

AssemblyAI can be improved; I think they should manage their webhooks better to retrieve my data as soon as possible for my audio.

I think it has an issue with the timestamps because the timestamps of multiple platforms are not matching, although the accuracy of transcription is excellent, and diarization has a slight issue but is also good.

I have been using AssemblyAI for the last eight months.

AssemblyAI build is very stable and has no issues in its build.

AssemblyAI scalability is excellent, and I have no issue with it.

I have never needed customer support because the project and AssemblyAI integration is going very well; I have not needed to contact customer support.

I have tried Google Cloud for video transcription and diarization, but it is too costly, which is why I switched to AssemblyAI for its affordability and good results.

Google Cloud is much better but expensive; I would recommend it to someone with a large budget for video audio transcription and diarization.

The app I have built is a video intelligence platform where I upload videos from Dropbox, extract their audio, and process them through AssemblyAI and Pyannote AI for transcription.

Our company has a business relationship with the vendor, and I recommend AssemblyAI for its cheap APIs and pricing.

I have seen a return on investment; I have saved money, time, and needed fewer employees for this project, which I did solo with the help of AI.

Google Cloud is much better but expensive; I would recommend it to someone with a large budget for video audio transcription and diarization.

I think all is good; AssemblyAI is working very well. I recommend teams or users looking to use AssemblyAI to manage the jobs as best as they can. My review rating for this product is 9.

My main use case for AssemblyAI is creating an AI agent where users need speech-to-text functionality. I integrate it into the AI agent and that is how I utilize it.

A specific example of how I used AssemblyAI in my AI agent project involves users who speak Arabic dialect. The platform is a job searching service, so users ask in Arabic, 'Where can I find this kind of job?' AssemblyAI processes the speech from Arabic to English, then provides the result, which is streamed back to the user.

The best features AssemblyAI offers are its multiple voice selection process and rich, vast selection of voices.

The multi-voice selection process stands out to me because the voices are genuinely good and they provide many varieties of voice models. I can try them out and see that they are multilingual. The voices deliver pretty good transcripts with good performance.

AssemblyAI has positively impacted our organization in terms of user experience. It provides clear information to users because it can understand user intent properly. User experience has improved because users have given positive feedback about the AI agent, as it can understand them properly in their language. The AI agent can respond to users positively and perfectly regardless of how they communicate, and users are happy with these features.

AssemblyAI could improve their free tier. They should also consider moving to live voice-to-voice communication if possible, not only speech-to-text, if they have not already provided this capability.

I have been using AssemblyAI for three months.

AssemblyAI is stable based on my experience.

The scalability of AssemblyAI is good.

The customer support of AssemblyAI is good.

I did not previously use a different solution before AssemblyAI.

My experience with pricing, setup cost, and licensing is that AssemblyAI could improve the pricing, though it is good overall.

Before choosing AssemblyAI, I did not evaluate other options or use any other platform. I used Gemini once because it is free.

I would advise others looking to use AssemblyAI that it is quite good. They can use it if they want to. I would say to go ahead and implement it because it is a scalable solution.

I do not have any concerns about the user interface; it is cool and good.

I rate AssemblyAI an eight out of ten because I think they can improve the pricing, which is the main thing. I cannot give it a ten out of ten because there is a lot of competition and there may be different competition on latency and other things.

Regarding AssemblyAI's AI capabilities, the input and output processing does not currently do full end-to-end agent capabilities, but this is not a concern at this time. In terms of accuracy and reliability, AssemblyAI's AI capabilities are good.

My main use case for AssemblyAI is to transcribe audio using the AssemblyAI API, though I faced some issues with it later on. For general transcribing, it performs well, and I also used the summary and text diarization APIs.

I receive call recordings, apply a transcript to them, and conduct analysis on those call recordings, which is my primary use case with AssemblyAI.

One of the best features AssemblyAI offers, in my experience, is that it understands when two people are talking and transcribes those conversations properly, identifying Speaker 1 and Speaker 2 and providing the actual transcript.

The speaker diarization feature works well for my specific use case, especially when I am doing English audio transcription; it handles it pretty well. However, when I try to handle Hindi plus English or Hinglish audios where there is code switching between English and Hindi, then it falls apart significantly.

AssemblyAI has impacted my organization positively, but I could not use it later on because it did not pass the quality benchmarks.

AssemblyAI can be improved by enhancing their voice models and supporting English plus Hindi code switching, similar to an AI model like Sarvam.

I first used AssemblyAI around one year ago, and then I used it again recently, so I have approximately 1.5 years of experience using AssemblyAI.

On a scale of one to ten, I would rate AssemblyAI around seven to eight for English transcription.

I choose an eight for English transcription because it handles the transcription pretty well.

My advice to others looking into using AssemblyAI is that if you are using it for English transcription and your primary goal consists of only English audios, then I recommend it. It is affordable, performs better than alternatives, and it has been available for a long time, so customer support should also be good. It is affordable and easily integrated, requiring minimal hassle—just API calls.

The quality benchmarks AssemblyAI did not pass are related to Hinglish audio; specifically, it was not able to diarize or transcribe it properly.

My overall rating for AssemblyAI is eight out of ten.