Hear every speaker
Separate distinct voices and preserve who said what throughout the transcript.
AI-powered audio intelligence
AudioScribe AI turns meetings, calls, interviews, lectures and dictation into speaker-labelled, searchable and automatically classified intelligence.
We should confirm the revised timeline and assign the next client follow-up before Friday.
I will prepare the action list and circulate it after this call.
Unlock what was said
Raw audio is difficult to search, review, route or act on. The information is there, but it remains trapped in the timeline.
AudioScribe AI converts speech into structured text, identifies speakers and context, classifies the recording and prepares the result for immediate use.
Follow the transformation00:18 Speaker 1 opens the project review and confirms the agenda.
02:41 Speaker 2 identifies the first action item and owner.
Separate distinct voices and preserve who said what throughout the transcript.
Identify topics, intent, important moments and action items beyond literal words.
Classify audio by type so libraries can be searched, sorted and routed without manual tagging.
Five steps from sound to structure
Select a stage to see how AudioScribe AI turns an uploaded recording into speaker-labelled, contextual, classified and searchable output.
Upload meetings, lectures, calls, interviews, podcasts, stories or dictation in common audio and video formats.
Process accents, multiple speakers, overlapping voices, background noise and domain-specific vocabulary.
SPEAKER 100:42Let us review the compliance actions from last quarter.
SPEAKER 200:48The documentation is complete and ready for approval.
SPEAKER 100:54Next, we should confirm...
Identify topics, intent, key information, action items and important moments within the recording.
Classify each file as a meeting, lecture, interview, podcast, story, call or dictation based on structure, speakers and context.
Receive full text, speaker labels, timestamps, classification, key topics and action items for storage, review or system integration.
Three layers of audio intelligence
Select a layer to explore how AudioScribe AI turns a recording into a complete and immediately useful knowledge asset.
Handle diverse accents, multiple speakers, overlapping speech, background noise and specialized terminology.
Identify topics, intent, key information and moments that deserve attention.
Use automatic content labels to sort and search large libraries without manual tagging.
Classification in context
Choose a content type to see the kind of structure and value AudioScribe AI can make searchable.
Choose an industry
Explore how searchable, speaker-labelled and classified audio can support regulated, knowledge-intensive and content-driven teams.
Every recording becomes an asset
AudioScribe AI makes spoken content as searchable, organized and actionable as any other document in the organization.
Complexity handled in the transcript
AudioScribe AI is designed for the environments where accuracy, context, privacy and immediate usability matter most.
Discuss your audio workflowIdentify distinct speakers and preserve the conversation across calls, panels and meetings.
Support diverse accents, dialects, non-native English and multiple languages.
Handle banking, legal, medical, academic and other specialized terminology.
Connect transcripts to archives, CRM, compliance, learning and document systems.
Turn sound into structure
Begin with a representative set of recordings, the vocabulary your teams use and the transcript structure your workflow requires.
Select meetings, calls, interviews, lectures or dictation where search and structure create immediate value.
Align speaker labels, timestamps, topics, classifications and action-item needs.
Evaluate transcripts across different speakers, accents, vocabulary and recording conditions.
Deliver transcripts to the right people or systems and extend the workflow across more audio.
Start with the essentials
Use these answers to begin evaluating intelligent transcription and audio classification.
AudioScribe AI is designed for common audio and video formats including MP3, MP4, WAV, M4A, AAC, OGG, FLAC and WEBM.
Yes. Speaker diarisation identifies and separates distinct speakers so the transcript shows who said what throughout the recording.
Classification identifies whether audio is a meeting, lecture, interview, podcast, story, call or dictation based on its structure, speakers and context.
AudioScribe AI is designed for diverse accents, dialects, non-native English speakers and multiple languages. Specific language requirements can be discussed with TFL Tech.
The structured output can include the full transcript, speaker labels, timestamps, content classification, key topics and identified action items.
Yes. AudioScribe AI is API-ready for document management, CRM, compliance archives, learning systems and other platforms. It can also operate independently.
Bring a real recording
Share a representative file and see how AudioScribe AI transcribes, separates speakers, understands context and organizes the result.
Request a live transcription