Custom Vocabulary Integration

via “custom vocabulary injection for domain-specific terms”

Enterprise audio transcription API with multi-engine accuracy across 100 languages.

Unique: Vocabulary injection operates at model inference time (not post-processing) — biases Solaria-1 recognition toward custom terms during decoding, improving accuracy vs post-transcription spell-correction. Supports code-switching with custom vocabulary across multiple languages.

vs others: Real-time vocabulary injection during inference provides better accuracy than post-processing corrections; competitors like Google Cloud Speech-to-Text require separate phrase hint configuration with lower accuracy impact.

via “custom vocabulary injection for domain-specific terminology”

Speech-to-text API built on decade of human transcription data.

Unique: Unknown — insufficient technical documentation on vocabulary injection mechanism, model adaptation approach, or integration with base ASR model

vs others: Unknown — no documented details on vocabulary management, size limits, or performance characteristics compared to competitors

Hey HN, I’m Evan, cofounder and CTO of Ito AI.Ito is a voice to intent app that turns what you say into structured text: notes, messages, code, or any text field you’re working in. It’s designed to feel fast, clean, and distraction free. It works on Windows and Mac.Most speech tools are either locke

Unique: Offers a straightforward method for users to input and manage custom terms, enhancing the dictation experience beyond standard vocabulary.

vs others: More user-friendly than other dictation tools that require complex configuration for custom vocabularies.

AI Speech to Text

Unique: The ability to dynamically integrate user-uploaded vocabularies into the transcription process sets Transgate apart from competitors that rely solely on static language models.

vs others: Provides superior accuracy for specialized terms compared to standard transcription services that lack customizable vocabulary options.

via “manual-vocabulary-set-creation-and-curation”

Unique: Prioritizes user agency and customization over pre-built content — no algorithmic curation or recommendation of vocabulary, placing full control in learner hands

vs others: More flexible than Memrise's curated course library for niche domains, but requires significantly more manual effort compared to Duolingo's AI-generated contextual lessons

via “contextual vocabulary learning”