Multilingual AI voice intelligence

Every voice has value.
Make yours actionable.

From conversations to clarity. Girakshar transforms audio into knowledge, insights and meaningful action — powered by intelligent voice technology.

  • Multilingual intelligence
  • Speech-to-text
  • Voice generation
  • Speaker intelligence
RecordingPilot planning sync
04:12
Detected: English · Hindi · Kannada

Live transcript

  • S1

    ENLet us lock the launch date before we brief the field team.

  • S2

    HIठीक है, अगले हफ़्ते तक बजट की समीक्षा पूरी कर लेंगे।

  • S1

    ENGreat. Decision: we ship the pilot to Bengaluru first.

AI summary

Pilot launches in Bengaluru first. Budget review due next week; customer list in preparation.

Action items

  • Arjun: revised budget, Friday
  • Kavya: customer list

Sample recording · demonstration data

Speaker timeline · sample recording · hover the waveform, click to scrub

The problem

Your world runs on conversations. Your knowledge shouldn't get lost in them.

Lost information

Important decisions disappear inside recordings. Nobody has time to relisten, so what was agreed becomes what someone remembers.

Language barriers

Spoken information is hard to process across languages. A meeting that moves between English, Hindi and Kannada defeats most tools.

Manual work

Transcription, summarisation and organisation consume hours that should go to the work the conversation was about.

The platform

One voice platform. An entire intelligence workflow.

01 / 06Intelligent transcription
TranscriptSample recording · demonstration data
  1. 00:14

    Let us lock the launch date before we brief the field team.

  2. 00:21

    The pilot starts in Bengaluru and expands after the first review.

  3. 00:33

    Budget figures move to the shared sheet by Friday.

The workspace

Meet your new voice workspace.

Browse recordings, read transcripts against the audio, and pull out summaries and action items. Everything in this mockup runs on sample data.

Demonstration data

Workspace · sample data

Transcription workspace

Pilot planning sync

Duration 12:48 · Today, 10:14

01:12 / 12:48
  • Meera
  • Arjun
  • Kavya

Transcript

Showing English · original speech in English, Hindi and Kannada

Solutions

One platform. Different ways to work with voice.

Education

Turn lectures and learning sessions into searchable notes and summaries.

  • Searchable notes by topic and timestamp
  • Summaries students can revise from

Lecture notes · outline

  1. Cell signalling
    • Receptor binding and second messengers
    • Calcium as a signal, with a worked example
  2. Exam-relevant definitions
    • Ligand, agonist, antagonist

Sample lecture · demonstration data

Business

Capture meetings, decisions and action items.

  • Decisions recorded with their owners
  • Open action items kept in one place
DecisionsPilot planning sync
  • DecidedShip the pilot to one city firstMeera
  • DecidedBudget review moves to next weekArjun
  • OpenCustomer list for the field teamKavya

Sample meeting · demonstration data

Content creation

Transcribe recordings and generate voice content.

  • Recordings transcribed with speakers marked
  • Scripts rendered to voice for review

SCRIPT Welcome back. Today we follow the river from source to delta.

AUDIO · 00:42Voice generation · sample
Planned

Developers

Build voice-powered applications using future platform API capabilities.

  • Transcription and summaries through one API
  • Access planned; no release date committed
Planned API · illustrativeNot yet available
const session = await girakshar.transcribe({
  source: "meeting-0412.wav",
  languages: ["en", "hi", "kn"],
  outputs: ["summary", "actions"],
});

Languages

Language should never limit intelligence.

Girakshar processes speech across languages, so a meeting that moves between English, Hindi and Kannada becomes one structured record, not three partial ones. Select a language to see the same decision expressed in each.

Structured output

hi-IN
Topic
पायलट लॉन्च की योजना
Decision
फ़ील्ड ब्रीफ़िंग से पहले पायलट की तारीख़ पक्की करें।
Action
अर्जुन: पक्की तारीख़ टीम को भेजें।
Language tags
hi-INHindi

Demonstration data · same meaning in each language

Accuracy varies by language, audio quality and accent. We verify each language before we call it supported.

Other languages — added as capabilities are verified

Technology

Engineered for the future of voice.

The architecture below shows how a recording moves from raw audio to searchable knowledge. Each stage is marked by what runs today and what is still on the roadmap.

GIRAKSHAR processing pipeline with status for each stage

01 · Input

Audio input

Recordings, meetings and spoken notes enter the pipeline as audio files or live streams.

Implemented

02 · ASR

Speech recognition

Whisper-based recognition converts speech to text across English, Hindi and Kannada.

Implemented in prototype

03 · Speakers

Speaker diarization

Separates who is speaking and when, using compatible speaker-recognition models.

In development

04 · Intelligence

AI processing & summarisation

Extracts decisions, action items and concise summaries from each transcript.

In development

05 · Output

Searchable knowledge store

Transcripts, summaries and speaker-tagged segments become searchable, shareable records.

Planned integration

Branch · text → speech

06 · Synthesis

Voice synthesis

F5-TTS-based synthesis turns summaries and written notes back into natural speech.

Implemented in prototype

Streaming layer

Real-time audio processing architecture

Chunked audio flows through recognition, diarization and summarisation as it is captured, so transcripts can appear while a conversation is still under way.

Planned integration

Legend

  • Implemented

    Filled orange dot. Runs today, including prototype stages.

  • In development

    Half-filled dot. Being built, not yet released.

  • Planned integration

    Hollow dot, dashed outline. On the roadmap.

We label what runs today and what is on the roadmap. Nothing here is presented as production-ready until it is.

Pricing

Start with your voice. Scale with your ambition.

Join early access with the Pro plan

Join early access with the Pro plan

Proposed plans for early-access feedback. No payments are taken today.

Early access

Be among the first to give your voice a workspace.

  • What early access includes: first use of the workspace and the features still in testing, clearly labelled as such.

  • We will email you about the pilot: dates, what we need from you, and what we will do with your feedback.

  • No payment asked: joining the list costs nothing, and you can ask us to remove you at any time.

Primary use

Fields marked are required.

About GIRAKSHAR

Built for the people who speak more than one language.

GIRAKSHAR takes its name from akshar, a Sanskrit word for a letter or syllable, and for something that does not perish. The idea behind it is modest: a spoken word deserves to be kept, found again and understood, whatever language it was spoken in.

Our mission is to make spoken knowledge durable, searchable and multilingual. We are building for teams whose meetings, interviews and field conversations already happen across languages, and whose decisions currently live only in someone's memory.

Human-centred

Built around the people in the conversation, not just the transcript. The goal is to help someone act on what was said.

Precise

We report what was said and label what was inferred. Summaries point back to the audio they came from.

Honest about limits

Accuracy varies with accent, language mix and audio quality. We say so in the product, not only in the fine print.

Multilingual by design

Speech that moves between languages is the normal case. We treat it as the starting point, not an edge case.

Stop losing conversations.
Start building knowledge.

Give every conversation the intelligence it deserves.

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