Lost information
Important decisions disappear inside recordings. Nobody has time to relisten, so what was agreed becomes what someone remembers.
Multilingual AI voice intelligence
From conversations to clarity. Girakshar transforms audio into knowledge, insights and meaningful action — powered by intelligent voice technology.
Live transcript
ENLet us lock the launch date before we brief the field team.
HIठीक है, अगले हफ़्ते तक बजट की समीक्षा पूरी कर लेंगे।
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
Sample recording · demonstration data
Speaker timeline · sample recording · hover the waveform, click to scrub
The problem
Important decisions disappear inside recordings. Nobody has time to relisten, so what was agreed becomes what someone remembers.
Spoken information is hard to process across languages. A meeting that moves between English, Hindi and Kannada defeats most tools.
Transcription, summarisation and organisation consume hours that should go to the work the conversation was about.
The platform
Let us lock the launch date before we brief the field team.
The pilot starts in Bengaluru and expands after the first review.
Budget figures move to the shared sheet by Friday.
The workspace
Browse recordings, read transcripts against the audio, and pull out summaries and action items. Everything in this mockup runs on sample data.
Workspace · sample data
Transcription workspace
Duration 12:48 · Today, 10:14
Showing English · original speech in English, Hindi and Kannada
Solutions
Turn lectures and learning sessions into searchable notes and summaries.
Lecture notes · outline
Sample lecture · demonstration data
Capture meetings, decisions and action items.
Sample meeting · demonstration data
Transcribe recordings and generate voice content.
SCRIPT Welcome back. Today we follow the river from source to delta.
Build voice-powered applications using future platform API capabilities.
const session = await girakshar.transcribe({
source: "meeting-0412.wav",
languages: ["en", "hi", "kn"],
outputs: ["summary", "actions"],
});Languages
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-INDemonstration 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 verifiedTechnology
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.
01 · Input
Recordings, meetings and spoken notes enter the pipeline as audio files or live streams.
02 · ASR
Whisper-based recognition converts speech to text across English, Hindi and Kannada.
03 · Speakers
Separates who is speaking and when, using compatible speaker-recognition models.
04 · Intelligence
Extracts decisions, action items and concise summaries from each transcript.
05 · Output
Transcripts, summaries and speaker-tagged segments become searchable, shareable records.
Branch · text → speech
06 · Synthesis
F5-TTS-based synthesis turns summaries and written notes back into natural speech.
Streaming layer
Chunked audio flows through recognition, diarization and summarisation as it is captured, so transcripts can appear while a conversation is still under way.
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
Join early access with the Pro plan
Join early access with the Pro planProposed plans for early-access feedback. No payments are taken today.
Early access
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.
About GIRAKSHAR
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.
Built around the people in the conversation, not just the transcript. The goal is to help someone act on what was said.
We report what was said and label what was inferred. Summaries point back to the audio they came from.
Accuracy varies with accent, language mix and audio quality. We say so in the product, not only in the fine print.
Speech that moves between languages is the normal case. We treat it as the starting point, not an edge case.
Give every conversation the intelligence it deserves.