Izitext
AI-driven transcription and subtitling engine for high-speed content localization.
Enterprise-grade neural speech recognition with hyper-accurate multi-speaker diarization and semantic context mapping.
ABC Transcription AI represents the 2026 frontier of Automatic Speech Recognition (ASR), utilizing a proprietary transformer-based architecture that exceeds standard Whisper-large-v3 benchmarks by 14% in high-noise environments. Unlike legacy transcription tools, ABC Transcription integrates a 'Semantic Context Layer' that cross-references industry-specific terminology (Legal, Medical, Technical) in real-time to minimize Word Error Rate (WER) in specialized domains. The platform's 2026 roadmap focuses on low-latency edge processing, allowing for near-instantaneous processing of long-form audio. Its architecture is built for the high-volume needs of enterprise legal firms and media houses, featuring robust multi-speaker identification that can distinguish up to 15 unique voices with 99.2% accuracy. The system is designed with a 'Privacy-First' directive, incorporating local PII (Personally Identifiable Information) scrubbing before data hits the cloud, making it a preferred choice for HIPAA and GDPR-sensitive workflows. Furthermore, its integration with LLM-driven post-processing allows users to not only transcribe but also generate executive summaries, action items, and sentiment heatmaps directly from the raw audio data.
Uses spatial clustering and vocal fingerprinting to distinguish up to 15 speakers in poor acoustic environments.
AI-driven transcription and subtitling engine for high-speed content localization.
The AI-powered media editor that allows you to edit video and audio as easily as a text document.
AI-powered text-based audio editing that turns high-fidelity production into simple document editing.
The knowledge-focused podcast player for capturing and sharing insights in real-time.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Dynamically loads a library of 1M+ technical terms based on the detected subject matter of the audio.
WebSocket-based streaming with less than 500ms latency for live events.
Local-first identification and masking of names, credit cards, and addresses before cloud storage.
Integrated GPT-4o level analysis to generate structured summaries from unstructured audio.
Instant translation of transcribed text into 50+ languages with synchronized timestamps.
Enterprise clients can upload 100+ hours of audio to fine-tune the base model on specific brand terminology.
Manually transcribing hours of legal testimony is expensive and prone to error.
Registry Updated:2/7/2026
Doctors spend too much time on administrative charting.
Creating show notes and social clips is time-consuming.