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Use natural language to transcribe, align, stream, and analyze Persian speech.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "roshan-harf-mcp" yet — see the docs or source repo.
Use roshan-harf-mcp to transcribe this Persian meeting recording into text and output it in timestamped segments.
Returns segmented Persian transcripts with corresponding timestamps.
Use roshan-harf-mcp to force-align this Persian transcript with the audio and produce sentence-level timestamps.
Outputs text precisely aligned to the audio with sentence-level timing.
Use roshan-harf-mcp to monitor this live Persian audio stream, transcribe continuously, and identify different speakers.
Returns live transcripts with speaker change markers and speaker labels.
Handle Persian text tasks like chat, translation, summarization, and more.
Semantic search and retrieval for Persian content with multi-instance MCP deployment support.
Transcribe audio into structured notes with speakers, timestamps, summaries, and action items.
Convert text into natural-sounding speech audio through an MCP server.
Access text-to-speech, speech-to-text, and voice management via ElevenLabs API.
Transcribe audio into multilingual text with optional GPT-based post-processing.