Automatic transcription and subtitling
Support for multiple languages (+30)
Subtitle editing and customization
Translation services
Multiple file format support (Avid, Adobe, Resolve, SRT, VTT, etc.)
Team collaboration features
ScriptMe are the best paid / free software transcribe audio to text tools.






Software that transcribes audio to text, also known as speech-to-text or automatic speech recognition (ASR), uses AI and machine learning to convert spoken words into written text. This technology has advanced significantly in recent years, with improvements in accuracy, speed, and language support.
Core Features
|
Price
|
How to use
| |
|---|---|---|---|
ScriptMe | Automatic transcription and subtitling |
Pay as you Go $29/hour audio or video uploaded
| To use ScriptMe, upload your audio or video files, choose a language, and press transcribe. Then, edit the transcription using the platform's editing function and export the file to a wide range of formats. |
Media and entertainment: Transcribing interviews, podcasts, and videos for content repurposing and accessibility.
Education: Transcribing lectures and discussions for student review and accessibility.
Healthcare: Transcribing patient-doctor conversations and medical reports for record-keeping and analysis.
Legal and law enforcement: Transcribing court proceedings, depositions, and interrogations for documentation and analysis.
Customer service: Transcribing customer calls for quality assurance, training, and sentiment analysis.
Users generally praise speech-to-text software for its time-saving capabilities, improved accuracy, and support for multiple languages. Some users have reported issues with transcription accuracy in noisy environments or with heavily accented speech, but many note that the technology has significantly improved in recent years. Users also appreciate the ability to customize language models and integrate the software with their existing workflows. Overall, speech-to-text software is seen as a valuable tool for a wide range of industries and use cases.
A student uses speech-to-text software to transcribe a lecture, making it easier to review and study the material later.
A journalist employs audio-to-text transcription to quickly create a written record of an interview, saving time and ensuring accuracy.
A content creator uses speech recognition to generate subtitles for their videos, making them more accessible to a wider audience.
To use software that transcribes audio to text, follow these steps: 1) Choose a speech-to-text service or software. 2) Provide an audio input, either through a microphone or by uploading an audio file. 3) The software will process the audio and generate a text transcript. 4) Review and edit the transcript as needed. 5) Export or integrate the transcript into your desired application or workflow.
Saves time and effort compared to manual transcription
Enables accessibility for hearing-impaired individuals
Facilitates content creation and analysis (e.g., podcasts, interviews, lectures)
Supports multiple languages and accents, enabling global collaboration
Integrates with various applications and workflows







































