AssemblyAI Reviews

My main use case for AssemblyAI was for a voice-based calling system that we created.

A specific example of how I used AssemblyAI in my voice-based calling system is that it was used for the text-to-speech part and also speech-to-text. For speech-to-text, I don't remember if we also used something else, but for text-to-speech, we definitely relied on AssemblyAI because the voices were significantly better.

I don't have anything else to add about my use case with AssemblyAI.

The best features AssemblyAI offers include a large selection of voices and an intuitive dashboard where we could customize and tweak things according to what we needed.

When I mention customizing and tweaking things, it was a mix of all aspects, and I could also change the AI model behind it.

AssemblyAI has impacted my organization positively, not in the current organization, but in the previous organization. Because of AssemblyAI, we were able to envision something that could speak naturally to mass consumers.

That natural-sounding speech impacted our customers because users couldn't tell if it was AI, and even if they could, they could still have a natural conversation.

AssemblyAI can be improved in several areas. I don't remember if AssemblyAI had a webhook, but if they have one, that's beneficial. The biggest improvement I think was the lack of background sound. If AssemblyAI doesn't have this feature anymore, but suppose we have a use case where a customer support representative is talking to an actual customer, for it to actually sound natural, perhaps a dim office workspace background would be nice. This would give it a much more natural feel instead of a very silent background, which feels very artificial.

Regarding AssemblyAI's AI capabilities, I have no idea about its governance and security. I would really like to know if it is compliant with Saudi PDPL. A feature I would want AssemblyAI to have is to cater to the MENA region and the Middle East market. There's a law in Saudi called PDPL, Personal Data Privacy Law, and that dictates that all the data should remain within the Kingdom or within GCC and all the processing should happen there. If AssemblyAI could offer some feature or some way to ensure that the hosting is being done within maybe GCP Dammam or AWS in the GCC, or the cloud providers that reside here, and the physical data centers that are being used are of the GCC for our entire processing, that would make it so much more feasible to be used within organizations in Saudi.

Regarding AssemblyAI's AI capabilities, I can't think much about its accuracy and reliability of output because I think the AI is of a third party that is connected. I don't know if AssemblyAI has any LLM that does the reasoning. So I don't think it's fair to say it's AssemblyAI's capability.

I used AssemblyAI for one and a half years, but I haven't been using it for a year now.

I would say to others looking into using AssemblyAI that it's a good start and it's very easy. They should start by first using the dashboard and trying it out instead of jumping into integrations to see if it best fits their use case. I would rate my overall experience with AssemblyAI an 8 out of 10.

I used AssemblyAI for a lot of agents. I used AssemblyAI when I had to control multiple agents. With AssemblyAI, I was doing research while controlling or managing multiple agents. Regarding how I used AssemblyAI for research, I was conducting multi-agent research.

AssemblyAI has positively impacted my organization by making it easier to transcribe things and saving us a lot of time.

I do not know how much time AssemblyAI saved us, and I do not have a number for that, but it made things more efficient and easier.

In my experience, I generally appreciated the whole thing that AssemblyAI offers.

A particular feature that stood out to me about AssemblyAI was its great accuracy.

Regarding AssemblyAI's accuracy and reliability of output, it was really good, which is why we settled on it eventually.

I think AssemblyAI was really easy to use and intuitive for me.

I would not add anything else about the features. I do not have any suggestions for improvement. I would not add more about the needed improvements.

I have been using AssemblyAI for about a year.

I believe AssemblyAI is stable.

I did not previously use a different solution before AssemblyAI.

My experience with AssemblyAI's pricing, setup cost, and licensing was that it was pretty easy.

I have seen a return on investment in terms of time saved, but I am not sure about money saved.

My experience with AssemblyAI's pricing, setup cost, and licensing was that it was pretty easy.

I was not the one to evaluate other options before choosing AssemblyAI; there was someone else doing that, but we went through a list.

I rate AssemblyAI a 10 on a scale of 1 to 10. I gave AssemblyAI a 10 because it was easy to use, made my life easier, made me efficient, and was successful in the company.

Regarding AssemblyAI's governance and security, I think it is pretty good, and I do not have much to comment on that.

I think AssemblyAI is really good, and we got a lot of use out of it, so I would definitely recommend it for researchers. My overall review rating for AssemblyAI is 10.

In my personal project, I used AssemblyAI for audio entity recognition. I gave it some audio files and AssemblyAI processed them to provide entity recognition. For example, if the audio contained names of someone, it highlighted them as person names and these types of entities.

In the freelance project that I made recently, I used it for transcribing audio interviews. We were making an audio and video interviewing system and we needed an API to transcribe audio into text. AssemblyAI was used for speech-to-text translation because it was the fastest and the best option for our use case.

In the audio and video project I was making for a freelance client, our use case was speed. The main thing that would differentiate us from our competitors was speed. We needed a quick solution that was also cost-effective. AssemblyAI stood out and it provided us quick results that helped us transcribe the audio stream quite instantly and use it to process and show results to the user.

I noticed that it was quite quick. I also noticed that it offers flags to check when the audio has stopped. This helped me identify the different users in that audio and properly transcribe the text and make meeting notes and these types of things.

It was quite accurate. We were using it to transcribe speech to text, and then we used that transcribed text to generate follow-up questions for the interviewers. It needed to be accurate. As our experience suggested, it was quite accurate and we were able to fulfill the use case.

I think the documentation could be improved a bit because it is a little difficult to follow for the first-time user. If you do not have an MCP right now, I recommend that you make an MCP for AssemblyAI API because now is the time of AI and agents. An MCP helps us to integrate it with our system quite easily.

I think it was good and it fulfilled my use cases, but there is always room for improvement. I gave it an 8 and not a 10 because nothing is 10 out of 10 in this world.

I have used AssemblyAI twice now. One time I used it for an audio entity recognition software I made for my personal learning. I recently used it in a freelance project that I was doing.

I was offered assistance when your representative contacted me on LinkedIn and offered to send her the screenshot of the completion, and she will hopefully give me a gift card or something.

Previously we were using Deepgram for audio transcription. Deepgram is an API for audio transcription, but it was comparatively slow and somewhat not cost-effective when compared to AssemblyAI. After shifting to AssemblyAI, the biggest two points we experienced were that the speed of our software increased and our costing of the API reduced. It helped us with the speed and the cost-effectiveness.

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.