Free Ikimarati Transcription
Transcribe Ikimarati audio and video to text with AI. Fast, accurate, and free.
Ibikorwa
- Kuri i Free.ai
- Upload your Ikimarati audio or video file
- Our AI automatically detects Ikimarati and transcribes it
- Nka Umwandiko Cyangwa
Ikimarati Transcription Features
- ✓ku 0
- ✓Automatic Ikimarati language detection
- ✓MP3, MP4,, na Birenzeho
- ✓Na Kohereza
- ✓Idosiye Ingano ku
- ✓na -- Idosiye Cyasibwe Nyuma
Isesengurabyose
| Ururimi: | Ikimarati |
| Inyandikoporogaramu | mr |
| Imisusire | 0 |
| Agaciro: | Bitari ngombwa |
Birenzeho Ururimi
Ururimi:Ibibazo bizwa kenshi
Ikimarati is a mid-resource language for Whisper - large-v3-turbo lands in the 15-25% word error rate band. The gist of the transcript is reliable; expect named-entity errors, occasional code-switching glitches, and short-utterance misfires. Plan a human pass for publication-quality output.(C, 15-25% word error rate ku - Twebwe Gutangaza:% S.)
Yes - Ikimarati transcription draws from your daily free token pool first. Audio costs about 50 tokens per minute, so the anonymous daily pool covers a few hours of audio per day. Signed-in accounts get a larger 30,000-token daily pool. Past that, transcription is pay-as-you-go, with token top-ups from $1.
Ikimarati in IYANDIKA (- 8).
MP3, WAV, M4A, FLAC, OGG, OPUS, and WEBM are accepted directly. For video (MP4, MOV, MKV) we extract the audio track server-side before sending it to Whisper - you do not need to convert anything yourself. Same pipeline regardless of source language, including Ikimarati.
Anonymous uploads cap at roughly 500 MB per file. Signed-in accounts go up to 2 GB. Duration is not a hard limit - long files are chunked automatically (30-second windows with overlap) and stitched back into a single transcript with continuous timestamps. Multi-hour Ikimarati recordings (podcasts, full lectures, meetings) work fine.
Yes - speaker diarization is on by default for every Ikimarati transcript. The output is segmented as Speaker 1 / Speaker 2 / Speaker 3 with timestamps, so interviews, panel discussions, and multi-party meetings come back labeled. Diarization runs on a separate model and works the same across all languages we support.
Yes - paste the URL into /transcribe/youtube/ for YouTube or /transcribe/podcast/ for podcast feeds (Apple, Spotify, RSS). We download the audio, run it through Whisper with language=mr, and return the transcript with timestamps and speaker labels. Typical Ikimarati content: WhatsApp voice notes, YouTube vlogs, and short-form video are the most common Ikimarati workloads - paste a URL into /transcribe/youtube/ or upload the audio directly.
Whisper costs about 50 tokens per minute of audio, so a one-hour recording is ~3,000 tokens. Most users never spend anything - the free daily pool of 30,000 tokens covers short clips, voice notes, and one-off podcasts. Beyond it, transcription is pay-as-you-go, with token top-ups from $1.
Yes - both segment-level (every ~10-30 seconds) and word-level timestamps are available. Word-level is the default for VTT/SRT subtitle export so the captions sync line-by-line. On the API set timestamps="word" in the request body. Ikimarati in IYANDIKA (- 8).
Yes. POST audio (multipart/form-data, field name "file") to /v1/transcribe/ with language=mr - or omit the language parameter to let Whisper auto-detect. Returns JSON with the transcript, segments, timestamps, and speaker labels. Full reference and SDK snippets at /api/.
Yes - once transcription finishes, click Translate or paste the text into /translate/. Ikimarati pairs with every other language we support (200+). For meeting minutes pipe the transcript through /summarize/; for dubbing send it to /voice/tts/ to render audio in the target language.
Whisper ku Ikimarati, Ku iyi Icyo ari cyo cyose Birenzeho i Ikosa Umubare Bya. If a transcript comes back unusable, email contact@free.ai with the file - we will refund the tokens and look at whether a different engine handles your audio better.