I like how accurately Open AI Whisper converts speech to text, even with different accents and background noise. it saves a lot of time compared to manual transcription Review collected by and hosted on G2.com.

sometimes it struggles with industry- specific terms, names, or unclear audio , which can require a quick manual review and correction Review collected by and hosted on G2.com.

I use OpenAI Whisper mostly for my sales team. We created an n8n integration that transcribes voice messages from a Slack channel and generates personalized follow-ups. It's hands down the best voice recognition tool on the market right now. I love its ease of setup and tempting pricing. It's my go-to standard for every voice integration. It's easily a 10/10 for recommendation. Review collected by and hosted on G2.com.

My tech team stumbled upon minor difficulties when setting up the n8n integration. Some workflows (slack -> whisper -> claude) didn't work from the first time. Review collected by and hosted on G2.com.

What I like most about OpenAI Whisper us how accurately it convert speech to text, even when there's background noise or different accents. it's reliable, easy to use and saves a lot of time. Review collected by and hosted on G2.com.

One thing i don't like is that it can struggle with very noisy audio or multiple people talking at the same time. it also need some cleanup for punctuation and speaker separation in longer recordings. Review collected by and hosted on G2.com.

I use OpenAI Whisper for my voice agent, and I really appreciate its multilingual capabilities, which are important for us since our audience includes Indian users, allowing us to adapt to different languages while maintaining the same workflow. The good API integration is a standout feature, especially since we experiment with various speech-to-text and text-to-speech providers, and OpenAI Whisper’s API makes this process seamless for our voice agent. Additionally, I like the developer platform provided by OpenAI, which allows us to choose different models, test various audio files, and perform speech-to-text transcriptions effectively. The quick and easy setup was also a plus, as we were able to get it running within a few minutes. Review collected by and hosted on G2.com.

So, latency is something that we have tried in some scenarios. Second, background noise. So if we have a call where there is a lot of background noise, it's not able to understand clearly. And at times, we think we were not able to get good voice models specific to some of the languages. Review collected by and hosted on G2.com.

The feature I like best is that I have built an app that uses voice recognition to speak to customers.

Customers can speak instead of typing a message. OpenAi also transcribes the conversation with clients when we book appointments and it takes notes of the meeting.

Also use the transcribe feature to capture leads while driving.

Translation feature is also pretty good. Still strugling a bit from Afrikaans to English tho! Review collected by and hosted on G2.com.

One thing I dislike is that audio input is sometimes a bit short. When user talks it sometimes cut them off and interupts by talking over the customer before customer finishes their input. Review collected by and hosted on G2.com.

Its transcription accuracy stands out, even when the audio includes different accents or some background noise. It saves me a lot of time compared to taking notes manually, and the transcripts usually need only minor edits. Review collected by and hosted on G2.com.

The transcripts aren’t always accurate when the audio quality is poor or when multiple people are speaking at the same time, so I usually have to go back and make a few manual edits. Review collected by and hosted on G2.com.

What I like most about OpenAI Whisper is its transcription accuracy. It handles different accents well, works reliably even with some background noise, and saves a lot of time when converting audio to text. Review collected by and hosted on G2.com.

Sometimes it struggles with heavy background noise or overlapping voices and longer recordings may need a bit of cleanup for punctuation or formatting Review collected by and hosted on G2.com.

I started using OpenAI, and eventually started using all the others as well. What I found each has its speciality, and I prefer OpenAI for images creation. Review collected by and hosted on G2.com.

Haven't found a downside as of yet, it's performing as needed Review collected by and hosted on G2.com.

What I like the most about OpenAI Whisper is the fact that it makes typing tasks easier Review collected by and hosted on G2.com.

At this moment I am very pleased about the functionality of open ai whisper, however from time to time there is a misinterpretation of some words Review collected by and hosted on G2.com.

OpenAI Whisper is one of the best open source STT model that is very is to integrate into our applications. Implementation of Whiper is also very easy as we can use it without any api keys or credits. We can simple download the model and access the services simply. Review collected by and hosted on G2.com.

OpenAI Whisper is sometimes slow for real world applications and realtime audio streaming. Review collected by and hosted on G2.com.