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Speech-to-Text

Speech-to-text for meeting and work recording transcription

Speech-to-text is technology that converts voice recordings into text. For enterprises, the value appears when transcripts feed the next step: they are summarized, searched, mined for action items and stored in the systems your team uses.

Automatic Transcription, Meeting Transcription

  • Meeting & recording transcription
  • Automatic summaries and action items
  • Connected to task and document systems
  1. 01Voice recording
  2. 02Speech-to-text
  3. 03Transcript
  4. 04Summary & action items
  5. 05Work systems

Business problems

Business problems we solve

Minutes are written by hand

One person is busy taking notes instead of joining the discussion, and minutes are shared late.

Meeting decisions get lost

Follow-ups are not recorded and are hard to trace weeks later.

Recordings cannot be searched

Long recordings have to be replayed to find a single piece of information.

What we build

What we build

  • 01

    Speech-to-Text

    Transcription of voice recordings in Indonesian and English.

  • 02

    Meeting Transcription

    Full meeting transcripts with timestamps.

  • 03

    Automatic Summarization

    Summaries, decisions and follow-up lists from transcripts.

  • 04

    Task system integration

    Action items are created as tasks in the system your team uses.

Example applications

Example applications

  • Management meeting minutes

    Summaries and decisions are available minutes after the meeting ends.

  • Interview & survey documentation

    Field interview recordings become text ready for analysis.

  • Searchable recording archive

    Old recordings can be searched by keyword.

Architecture & approach

Architecture & approach

Transcript quality is tested with real recordings from your environment.

  1. 01

    Recording test

    Accuracy is tested with recordings that reflect your audio quality and terminology.

  2. 02

    Transcription

    Recordings are processed into timestamped text.

  3. 03

    Summary

    An AI model summarizes the content and extracts decisions and follow-ups.

  4. 04

    Integration

    Results are stored and passed to document or task systems.

Technology & integration

Technology & integration

  • Python
  • Speech-to-text models
  • LLM API integration
  • Queues & background jobs
  • REST API

Deployment

Deployment models

Option Description Best for
Cloud Transcription through cloud services or models.
  • Fluctuating recording volumes
On-premise Speech-to-text models run on internal servers.
  • Confidential meeting recordings

FAQ

Frequently asked questions

Does it support Indonesian?
Yes. Accuracy depends on audio quality, the number of speakers and specific terminology, so we test it with your recordings before implementation.
Are meeting recordings secure?
Recordings and transcripts are stored according to company data policy, and processing can run on internal servers when required.

Ready to discuss your requirements?

Tell us about your context and goals. We will help map the solution, priorities and an initial estimate.