About us
We turn recorded audio into usable knowledge.
AudioBank.FM is an AI company focused on audio transcription, summaries, structured notes, search, and export workflows.
Recordings should not stay trapped inside media files. Interviews, podcasts, lectures, meetings, and voice notes should become searchable, quotable, editable, and useful.
Our product starts with transcription, then adds speaker turns, timestamps, summaries, decisions, quotes, chapters, action items, and library search.
01
Speech to text
Convert messy recordings into readable transcripts with timestamps, file context, and speaker-aware structure.
02
Audio understanding
Identify the useful parts of a recording: topics, decisions, quotes, action items, chapters, and evidence timestamps.
03
Searchable memory
Turn processed recordings into a searchable audio bank instead of disposable transcript downloads.
04
Workflow outputs
Export clean text, notes, captions, subtitles, and structured data that fit real creator, research, and team workflows.
Technical focus
Built for the full audio-to-knowledge flow.
Multi-format ingestion
Support for common audio formats such as MP3, M4A, WAV, OGG, Opus, AAC, FLAC, and AMR.
Language-aware processing
Auto-detect and manual language selection are designed to improve transcription quality before processing starts.
Timestamped context
Every useful output should stay connected to the source audio, so teams can verify quotes and jump back to the moment that matters.
Structured generation
Summaries, notes, chapters, quote banks, and action items are shaped for downstream work, not just generic chat output.
Our operating principles
AI should make audio easier to trust, not harder to verify.
Keep the source close
The transcript, notes, and audio player belong together.
Design for review
AI output should be editable, traceable, and easy to correct.
Protect private recordings
People upload sensitive calls, interviews, and notes; privacy must be part of the product design.
Ship useful formats
TXT, DOCX, PDF, Markdown, SRT, VTT, and JSON matter because real workflows are messy.
Who we build for
Built for people who work from recordings.
The same recording can become a post, research evidence, meeting record, training note, subtitle file, quote bank, or searchable team memory. AudioBank.FM helps you get there faster.
Transcription first
Clean text, timestamps, speakers, and exports are the foundation of every workflow.
Context matters
The player, transcript, notes, and source timestamps should stay connected.
Built to reuse
A finished recording should become searchable knowledge, not another lost file.