Easily transcribe
voice to text
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1. Upload / Import your files. We support most audio and video file formats.
2. Transcribe. This is where the magic happens, your audio and video files are transcribed in minutes with 95+% accuracy.
3. Edit, Annotate and Translate. Navigate in your audio and video based on the transcript. You can add comments, edit sentences and translate in seconds. You have full control over the transcript.
4. Collaborate. Invite team members, share your projects links, review edits and validate changes - all from SimonSays. You'll save days on your transcription project.
Accelerate your workflow. Make rough cuts at the speed of light. Transcribe, assemble, caption, subtitle and translate all your video and audio projects in our online tool.
Export to dozens of formats. Simon Says AI has you covered with a multitude of export options, including all the major video editing applications such as Adobe Premiere Pro, Avid Media Composer, and Apple's Final Cut Pro X.
Voice-to-text transcription is the process of converting spoken words into written text, also known as speech-to-text transcription (or automatic transcription). This technology uses artificial intelligence and machine learning algorithms to recognize speech patterns, transcribe them into text, and produce a written transcript of the spoken content.
Simon Says AI transcribes voice-to-text using automatic transcription technology. Our software uses advanced algorithms to analyze the audio input and recognize the words spoken. It then converts these words into text, with a high degree of accuracy, and produces a written transcript of the spoken content.
Voice-to-text transcription is a versatile technology with many applications across various industries. Some common use cases include transcribing meetings, interviews, lectures, and podcasts. It can also be used in the medical field to transcribe patient notes and in legal proceedings to transcribe court hearings and depositions. Additionally, voice-to-text transcription can be used in accessibility applications, such as providing closed captioning for videos or transcribing audio content for individuals with hearing impairments.
It takes about 10-12 minutes to transcribe 1h of audio with Simon Says (20% of the audio file length). Manually this would take from 3 to 5 hours.
Simon Says AI's automatic transcription software is highly accurate, with a typical accuracy rate of 95+%. The software uses advanced algorithms and machine learning to improve accuracy with every use.
Several factors can impact the accuracy of voice-to-text transcription. These include the quality of the audio recording, background noise, the number of speakers, the speed and clarity of the speakers' speech, accents and dialects, and technical issues such as microphone quality or internet connection. However, with Simon Says AI's advanced software, many of these factors are mitigated to ensure the highest possible accuracy.
