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AI Transcription Technology — How YAPR Works Under the Hood

YAPR uses enterprise-grade AI infrastructure to transcribe voice to text in under 2 seconds with 99.2% accuracy. Audio is processed on DeepInfra GPU clusters using the Whisper Large v3 Turbo model, encrypted with AES-256 in transit, and deleted immediately after transcription.

GPU Infrastructure

DeepInfra operates globally distributed GPU clusters with always-warm endpoints. Every inference request is routed to the nearest node — no cold starts, no spin-up delays. Sub-2-second processing for any audio length.

Privacy Architecture

Zero audio retention is not a policy — it is an architecture. YAPR has no audio storage layer. Audio is deleted immediately after transcription. All data encrypted with TLS 1.3 and AES-256.

01. Technology

THE ENGINE.

Enterprise-grade AI infrastructure. Built for speed, accuracy, and zero compromise on privacy.

DeepInfra GPU infrastructure · Best-in-class speech AI · TLS 1.3 + AES-256 · immediate audio deletion

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02. Infrastructure

POWERED
BY
DEEPINFRA

01

Global GPU Clusters

DeepInfra operates a globally distributed fleet of dedicated GPU infrastructure. Every inference request is routed to the nearest available node, keeping latency consistently low regardless of your location.

02

Enterprise SLA Reliability

DeepInfra's infrastructure is built to enterprise SLA standards — the same infrastructure trusted by companies processing hundreds of millions of AI requests daily.

03

Cold Start Elimination

Our integration with DeepInfra runs exclusively on dedicated, always-warm endpoints. There are no cold starts, no spin-up delays, no queuing. Every request hits a live model immediately.

04

Scalable to Any Load

Whether you're the first user of the day or the ten-thousandth, the system scales horizontally without degradation.

03. Model

State-of-the-Art Models.
The gold standard.

Architecture

Transformer

Deep transformer-based encoder-decoder architecture, trained end-to-end on hundreds of thousands of hours of real-world multilingual audio.

Parameters

1.5B+

1.5 billion learned parameters, trained on 680,000 hours of multilingual audio — one of the largest speech training datasets ever assembled.

Languages

100+

Natively understands 100+ spoken languages. No configuration needed — language is auto-detected, even when you switch languages mid-sentence.

WER (English)

2.7%

Word Error Rate of 2.7% on standard benchmarks — approaching human-level transcription accuracy across accents, dialects, and ambient noise.

04. Pipeline

From voice to text
in under 2 seconds.

Six stages. Every one optimized. Audio enters, text exits, nothing stays behind.

MIC

Captured

ENCODE

WebM/Opus

API

Direct

INFER

DeepInfra

RETURN

< 1.8s

DELETE

Permanent

01

Browser Capture

Audio is captured natively in your browser using the WebAudio API. No plugin, no extension, no download required. Works on every modern device.

02

Efficient Encoding

Audio is encoded in WebM/Opus format — a codec purpose-built for voice. This minimizes file size and upload time while preserving every phoneme accurately.

03

Direct Request Path

Audio is sent through Yapr's transcription API for the live request, then handed to inference without creating a separate storage object.

04

AI Inference

Your audio is sent to DeepInfra's dedicated AI inference endpoint. State-of-the-art speech models run on dedicated GPU hardware — no shared queuing, no cold start, no delay.

05

Instant Return

Transcribed text is returned directly to your browser via our API. The median round-trip time is under 1.8 seconds for recordings under 60 seconds.

06

No Audio Object Storage

When transcription completes, audio is deleted immediately. Yapr has no recordings database, no audio archive, and no hidden storage layer.

0.2%

word accuracy

0K hrs

training data

0+

languages

0-bit

AES encryption

0.9%

uptime SLA

0bytes

audio retained

05. Accuracy

99.2%
Word
Accuracy.

Independently benchmarked. Measured across accents, ambient environments, speaking speeds, and language contexts. Not a marketing claim — a verified measurement.

Native English speakers

99.4%

Non-native English speakers

98.8%

Technical vocabulary

98.1%

Noisy environments

97.2%

Code-switching (2 languages)

96.9%

06. Privacy Architecture

Zero retention.
Not a policy.
An architecture.

01

No Audio Storage Layer

The system is architected without an audio storage layer. Audio enters only to generate text. No recordings database. No audio archive. No backup of audio files.

02

Immediate Deletion

The transcription pipeline is built so audio is deleted immediately after transcription. No archive. No recordings database. No retention layer.

03

TLS 1.3 In Transit

All data in transit uses TLS 1.3 — the current gold standard in transport encryption. This covers your browser, our API, and our AI infrastructure.

04

AES-256 At Rest

Transcript text and account data are stored in AES-256-GCM encrypted database partitions with key rotation. The encryption layer is enforced at the infrastructure level, not application level.

05

Secure Authentication

Authentication is available via OAuth 2.0 (Google, GitHub), email with encrypted password hashing, or passkeys (WebAuthn). Your password is never stored in plain text. Your biometrics never leave your device.

06

Hardened Security Headers

Every response enforces HSTS, Content-Security-Policy, X-Frame-Options, and SameSite=Strict cookies — preventing XSS, clickjacking, and session hijacking by default.

07

Metadata Separation

The only data stored is account and usage metadata, plus transcript text only if you enable history — it is off by default. Server-side audio is never retained. Your recordings are deleted immediately after transcription.

08

GDPR + CCPA Compliance

Full regulatory compliance with GDPR and CCPA. You can export or delete all your data at any time via Settings. Erasure requests processed within 30 days.

READY TO
START?

No credit card. Free access from day one.

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