
Lingoscribe is an audio-to-text platform purpose-built for the world’s most underserved languages.
Just three seamless steps from audio to perfectly polished text.
Speak directly or upload voice. No complex setup.
Advanced AI listens, transcribes, and formats audio.
Instantly export or share your polished transcript.
Select a language to see real-time processing
Afridi Audio Sample
We enable transcription, analysis, and documentation in the world’s least digitized linguistic communities, preserving voices and accelerating access.
Enabling accurate audio transcription in the world’s least digitized languages using AI.
Translate transcribed text across multiple global and regional languages seamlessly.
Automatically identify and label individual speakers within multi-voice recordings.
Analyze emotional tone and sentiment across audio content for deeper insight.
Generate intelligent summaries from long-form audio files in seconds.
Extracts Named Entity Recognition, provides Language Detection, Speaker Profiling, and Link Analysis.
LingoScribe transforms voice into accurate, structured text with a focus on underrepresented languages, dialects, and indigenous communities. Our real-time speech-to-text engine supports multilingual output and is built to scale where no other tools reach.
Accurate transcription in 50+ global and indigenous languages. Lingoscribe’s powerful web editor lets you search, edit, organize, and share transcripts seamlessly anytime, anywhere. Ideal for interviews, oral histories, academic research, community recordings, and more.
Lingoscribe is a mission-driven voice technology startup building foundational Voice AI models for underserved languages, starting with the major regional languages of Pakistan (mainly Urdu, Pashto, Punjabi, Sindhi, and Balochi).
Lingoscribe voice models for low-resource languages can balance accuracy while accounting for dialects and regional variations. Our mission is to preserve linguistic diversity, expand access to technology, and ensure that AI works for people in their own voices, not just the world’s dominant languages.
The company’s core focus is to bridge the digital divide by enabling natural, voice-first access to digital services; including banking, education, healthcare, and government sector.
As a leader in multilingual voice transcription, Lingoscribe empowers organizations and communities by converting audio into accurate text — even in the world’s most underserved and indigenous languages — securely, responsibly, and at scale.

Lingoscribe does not rely on a single "standardized" form. Our models are trained on the real, messy, beautiful dialects of Pakistan.
Covers the rugged terrain of the southwest, capturing distinct tribal linguistic heritage.
Trained on intricate tonal variations from the northern and western belts.
Bridging the gap between the majestic plains and the distinct Saraiki belt.
From formal literature to the colloquial streets of Karachi and Lahore.
PK: +92 333 5207925
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