The Problem With Audio Today

Organisations generate vast amounts of audio every day — client calls, board meetings, staff interviews, training sessions, legal depositions, and lectures. Almost none of it is searchable, reviewable, or actionable in its raw form. It sits in storage, inaccessible and unprocessed, while the insights it contains go to waste.

AudioScribe AI was built to solve this problem — not just by converting speech to text, but by understanding what was said, who said it, and what type of content it is.

🔇
Hours of Unprocessed Audio
Meetings, calls, lectures, and interviews sit unprocessed — valuable insights locked inside audio files that no one has the time or tools to review.
❌
Manual Transcription Is Unsustainable
Manual transcription is slow, expensive, and error-prone — particularly with technical, legal, medical, or industry-specific language that generic tools cannot handle accurately.
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No Classification or Context
Generic transcription tools simply convert speech to text — they cannot distinguish a board meeting from a lecture, or identify the key action items within either.
⚠️ The cost of unprocessed audio Every unprocessed meeting recording is a compliance risk, a missed coaching opportunity, and an inaccessible knowledge asset. In regulated industries — banking, legal, and healthcare in particular — unprocessed audio is not just inefficient. It is a liability. AudioScribe AI turns that liability into a searchable, labelled, structured record.

How AudioScribe AI Works

AudioScribe AI processes audio in five steps — from upload to structured, searchable, labelled text. The entire workflow is automated. There is no manual review stage, no formatting work, and no specialist knowledge required to use it.

Step 01
Upload
Upload any audio file — meeting recording, lecture, call, interview, podcast, or dictation.
Step 02
Transcribe
AI converts speech to accurate text, handling accents, overlapping voices, and domain-specific vocabulary.
Step 03
Understand
AI reads context — identifying speakers, topics, intent, and key information within the audio.
Step 04
Classify
Audio is automatically tagged by type — Meeting, Lecture, Interview, Podcast, Story, Call, and more.
Step 05
Deliver
Receive structured, searchable, labelled text ready for review, storage, or immediate action.

Three Core Capabilities

AudioScribe AI is built around three capabilities that work together to transform raw audio into structured, actionable intelligence — moving well beyond what a standard transcription tool can deliver.

🎙️ Accurate Transcription
Industry-grade speech-to-text with support for accents, multiple speakers, background noise, and domain-specific vocabulary — including banking, legal, medical, and academic terminology. Accuracy does not degrade with complexity.
High accuracy. Any audio.
🧠 Context Understanding
AudioScribe AI goes beyond words — understanding meaning, identifying key topics, flagging action items, and surfacing important moments within the audio, whether it is a client advisory call or a university lecture.
Smart. Not just literal.
🏷️ Automatic Classification
Every audio file is automatically labelled by type — Meeting, Lecture, Interview, Podcast, Story, Call, Dictation, and more — enabling instant sorting, routing, and searchability across large audio libraries.
Meeting? Lecture? It knows.
📌 Why classification matters Most transcription tools stop at converting speech to text. AudioScribe AI goes further — it understands what kind of content it has just transcribed. This means a financial institution can automatically separate client advisory meetings from compliance training sessions, a law firm can instantly distinguish depositions from internal calls, and a university can route lecture recordings to course archives without manual tagging. Classification turns transcription from a document-creation task into an intelligent content management system.

Audio Types Supported

AudioScribe AI is trained to accurately transcribe and classify seven distinct audio types — covering the full range of content that organisations generate and need to process.

🗣️ Meeting
🎓 Lecture
🎤 Interview
🎙️ Podcast
📖 Story
📞 Call
🎧 Dictation

AudioScribe AI Across Industries

Audio is generated in every sector. The challenge of processing it accurately, classifying it correctly, and making it searchable is universal. AudioScribe AI has pre-mapped use cases for every industry that relies on spoken content — from regulated financial services to academic research to investigative journalism.

🏛️Banking & Financial Services

In regulated financial services, accurate and searchable audio records are not optional — they are a compliance requirement. AudioScribe AI automates the transcription and classification of every call, meeting, and interview that the regulatory framework demands be documented.

✓Regulatory call recording and transcription — MiFID II and FINRA compliance
✓AML interview documentation — accurate records for audit trails
✓Client advisory meeting minutes — auto-generated and searchable
✓Internal training session capture — turn recordings into knowledge bases
✓Loan officer interview transcription — captures full context
✓Board and committee meeting records — fully transcribed and labelled
✓Fraud detection call analysis — flag suspicious language patterns
✓Customer service call classification — route and analyse at scale
🏢Corporate & Enterprise

Enterprise organisations generate hundreds of hours of audio every week — all-hands meetings, sales calls, HR interviews, and leadership briefings. AudioScribe AI makes every recording searchable, shareable, and actionable without adding to anyone's workload.

✓All-hands and town hall transcription — searchable records for all staff
✓Training and onboarding session transcription
✓Sales call transcription and classification — coaching and compliance
✓Cross-border meeting transcription — handles accents and multiple languages
✓HR interview records — structured, searchable, and confidential
✓Project and status meeting minutes — auto-generated instantly
✓Earnings call and investor meeting transcription
✓Executive briefing capture — never miss an action item
🎓Education & Academic

From first-year lectures to doctoral research interviews, AudioScribe AI makes the full spectrum of academic audio searchable, accessible, and archivable — supporting both student learning and institutional compliance.

✓Lecture transcription — full course content made searchable and accessible
✓Faculty meeting minutes — automatic classification and labelling
✓Student interview and oral examination transcription
✓Dissertation interview transcription — hours of audio processed instantly
✓Research interview documentation — accurate qualitative data capture
✓Accessibility support — transcription for hearing-impaired students
✓Seminar and workshop notes — auto-generated from recordings
✓Language learning — transcription of spoken exercises for review
🏥Healthcare

In healthcare, documentation accuracy directly affects patient safety and regulatory compliance. AudioScribe AI enables clinicians to focus on patients while the AI handles the documentation — producing accurate, structured clinical records from spoken audio.

✓Doctor-patient consultation transcription — clinical notes auto-generated
✓Medical training lecture capture — fully searchable
✓Medical dictation — hands-free documentation for clinicians
✓Hospital rounds and case conference records
✓Psychiatric session notes — accurate transcription for clinical records
✓Patient intake interview transcription
✓Telehealth call transcription and classification
✓Regulatory audit interview documentation
📰Media, Journalism & Podcasting

AudioScribe AI transforms hours of recorded content into searchable, publishable text — giving journalists, podcasters, and broadcast professionals the speed and accuracy they need to meet deadlines and build accessible content archives.

✓Journalist interview transcription — hours processed in minutes
✓Radio programme transcription and classification
✓Podcast episode transcription — show notes and SEO content
✓Oral history and storytelling project archiving
✓Broadcast monitoring — classify and archive audio content
✓News segment classification and indexing
✓Documentary interview capture — full research archive
✓Press conference transcription — immediate, searchable records

Why AudioScribe AI?

AudioScribe AI was built on a straightforward principle: audio should be as searchable and actionable as any other document in your organisation. The technology to make that possible exists — the challenge is making it accessible, accurate, and intelligent enough to handle the complexity of real-world audio at scale.

⚡
10x
Faster than manual transcription
🎯
99%+
Accuracy on clear audio files
🏷️
7+
Audio types automatically classified
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Secure
Privacy-first data processing
🌍
Multi
Language and accent support
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API
Ready — integrates with any system

Unlike generic transcription services, AudioScribe AI is built for the environments where accuracy matters most — regulated industries with technical vocabulary, multi-speaker calls with overlapping voices, and cross-border meetings with diverse accents. The result is a product that delivers immediately useful output rather than a rough transcript that still requires hours of manual correction.

✅ Built on the same platform as TFL Tech's intelligent automation products AudioScribe AI is developed by TFL Tech Inc. — the team behind TrustBankCBS, Trust LOS, Trust AML, SmartFill, and Visual Intelligence. The same AI engineering that powers document extraction and visual defect detection in our other products is applied to audio intelligence in AudioScribe AI. Our clients benefit from a consistent, enterprise-grade technology foundation across every product in the TFL Tech suite.
📞 Ready to unlock your audio content?

See AudioScribe AI in action with a live demo tailored to your industry. Our team will process a sample audio file from your organisation — showing you exactly what the transcription, classification, and structured output looks like for your specific use case.

→ Request a live demo  ·  infous@softtrust.com  ·  www.tfltechinc.com

Frequently Asked Questions

What audio file formats does AudioScribe AI support?+
AudioScribe AI is designed to accept all common audio and video formats, including MP3, MP4, WAV, M4A, AAC, OGG, FLAC, and WEBM. This means recordings from any conferencing platform — Microsoft Teams, Zoom, Google Meet, or Cisco Webex — as well as smartphone voice memos, call centre recordings, and broadcast-quality audio files can all be processed without conversion. Contact the TFL Tech team for specific format requirements relevant to your existing recording infrastructure.
How does AudioScribe AI handle multiple speakers in a single recording?+
AudioScribe AI includes speaker diarisation — the ability to identify and separate distinct speakers within a single audio file. Each speaker is assigned a label in the transcript, so the output clearly shows who said what throughout the recording. This is particularly valuable for client meetings, depositions, panel discussions, and any call involving more than two participants. The AI handles overlapping speech and cross-talk, though accuracy is highest in well-structured audio with clear turn-taking.
What does automatic classification mean, and how is it different from transcription?+
Transcription converts speech to text — it creates a written record of what was said. Classification goes a step further: it identifies what type of content the audio contains. AudioScribe AI automatically labels each file as a Meeting, Lecture, Interview, Podcast, Story, Call, or Dictation based on the AI's understanding of the content structure, speaker patterns, and context. This means large audio libraries can be automatically sorted, routed, and searched by content type — without anyone manually tagging or categorising files.
How does AudioScribe AI handle accents and non-native English speakers?+
AudioScribe AI is trained on a diverse range of accents, dialects, and English spoken by non-native speakers — making it well-suited for multinational organisations, cross-border meetings, and global customer service operations. The system also supports multiple languages beyond English. For organisations with specific language requirements or highly regional accents, the TFL Tech team can discuss training and configuration options as part of a deployment discussion.
Is AudioScribe AI suitable for compliance-sensitive environments such as banking and healthcare?+
Yes. AudioScribe AI is specifically designed for deployment in regulated industries. In financial services, it supports MiFID II and FINRA call recording requirements — producing accurate, timestamped, speaker-labelled transcripts that meet regulatory documentation standards. In healthcare, it handles clinical dictation, patient consultations, and audit interview documentation with the accuracy that clinical and regulatory records demand. Data security and privacy are core design principles, not afterthoughts. Contact the TFL Tech team for a compliance-specific technical briefing relevant to your regulatory framework.
What does the output from AudioScribe AI look like?+
AudioScribe AI delivers structured, labelled transcripts that include: the full text of the audio, speaker labels throughout, timestamps at configurable intervals, an automatic classification label for the content type, and a summary of key topics and action items identified by the context understanding capability. Transcripts are formatted for immediate use — they can be shared with colleagues, filed in document management systems, or imported into other platforms via the API. They are designed to require minimal or no post-processing by the recipient.
Can AudioScribe AI integrate with our existing platforms and workflows?+
Yes. AudioScribe AI is API-ready, enabling integration with existing document management systems, CRM platforms, compliance archives, learning management systems, and any other platform that can send or receive data via an API. For organisations that prefer a standalone deployment, AudioScribe AI operates independently with its own upload interface and transcript management dashboard. Integration with other TFL Tech products — including SmartFill and TrustBankCBS — is also available for clients using multiple products across the TFL Tech suite.
How long does it take to transcribe an audio file?+
AudioScribe AI processes audio at approximately ten times the speed of real-time — meaning a one-hour recording is typically transcribed, classified, and delivered within minutes. Processing time varies slightly depending on audio quality, the number of speakers, and the complexity of the content, but for the majority of business audio, the output is available almost immediately after upload. This compares to several hours — or days — for equivalent manual transcription work.
How does AudioScribe AI fit within the broader TFL Tech product suite?+
AudioScribe AI is developed by TFL Tech Inc. — the team behind TrustBankCBS (core banking software), Trust LOS (loan origination), Trust AML (anti-money laundering compliance), Trust Analytika (banking analytics), SmartFill (AI form automation), and Visual Intelligence (AI construction monitoring). AudioScribe AI extends the TFL Tech platform into audio intelligence — enabling organisations to process, classify, and act on spoken content with the same AI-first approach that underpins every other product in the suite. It is available as a standalone product and as part of a broader TFL Tech deployment.