A practical step-by-step on how to turn audio recordings into text — what tools to use, the best formats, and how AI changed the game.
No credit card · $0.10/min
Transcribing audio to text used to be slow, manual work — someone listened to the recording in 0.5x speed and typed in a text editor. An hour of audio took 4 to 8 hours of work, depending on speech clarity and the typist's pace. Today, AI-based transcription tools have changed the workflow: an hour of audio gets transcribed in minutes, and modern tools include automatic review that fixes punctuation and removes filler.
This guide explains how the modern audio-to-text flow works: the practical steps to upload a file and receive the text, what formats to use, the common mistakes to avoid, and how to choose the right tool. The example throughout the guide uses LineaType, but most steps apply to any modern AI transcription platform.
The standard flow on any modern transcription tool.
Any common audio or video format works: MP3, WAV, M4A, OGG, MP4, MOV. There's no need to convert formats in advance — modern AI tools handle the conversion internally.
Sign up (LineaType offers 10 free minutes for testing) and upload the file via drag-and-drop or by clicking. The file is sent to the cloud for processing — no software to install.
The AI processes the audio. The expected time is 10–20% of the recording's duration — a 30-minute audio file finishes in about 5 minutes. Modern engines include automatic review of the text.
Read the result, fix anything specific (proper nouns, niche terms) and export in your preferred format: TXT, DOCX, PDF, or SRT (for subtitles). The whole flow runs in the browser.
What separates a useful tool from a basic one.
Basic speech recognition returns raw text without punctuation. A modern tool includes a second AI layer that adds punctuation, organizes paragraphs, and removes filler — the text arrives close to what a human would write.
Essential for interviews, podcasts, and meetings. The engine detects distinct voices and labels each line by speaker — without you needing to indicate who's talking.
The export can include start and end times for each paragraph or line — useful for citing exact moments in long recordings, or for generating subtitles for the original video.
TXT for general text, DOCX for documents, PDF for sharing, SRT for subtitles. Each format addresses a different use case — and a good tool supports all of them without retranscribing the file.
Create the account and transcribe your first audio file with 10 free minutes.
Transcribe now — 10 minutes free →No credit card · $0.10/min after free credits