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Persian speech-to-text (transcription) converts spoken Persian into written text automatically. Persian poses unique challenges: half-spaces, Persian numerals, regional accents, domain-specific terminology and mixed Persian-English speech common among Iranian professionals. Tools not designed for Persian produce frequent errors in all of these areas.
Why do international tools underperform for Persian?
Global speech services optimize for English and high-resource languages. Persian is usually an "add-on" language: half-spaces break, Iranian names transcribe incorrectly, mixed speech accuracy drops, and your audio is processed on foreign servers — often unacceptable for Iranian enterprises from a data-security standpoint.
How accurate is Persian speech-to-text?
Accuracy depends on audio quality, speaker count and vocabulary. Models designed natively for Persian reach 98%+ accuracy under normal conditions — Vocalix by MetaDeep is built exactly this way, with continuous learning of your organization's terminology.
Online vs on-premise?
For organizations handling sensitive audio (board meetings, legal records, patient data), offline processing on your own infrastructure is the only safe option: no data leaves, no internet dependency, full compliance.
Vocalix by MetaDeep
Vocalix turns speech into text and text into structured reports — fully Persian, fully local: 98%+ Persian accuracy, mixed Persian/English support, speaker diarization, ready templates for meetings and interviews, structured reports with action owners, and smart search across hours of audio. See our Intelligent Meeting Minutes case study or contact us for a demo.
