LlamaIndex Readers Integration: Lokutor
Transcribe audio files into LlamaIndex Documents with Lokutor speech-to-text (Conv 2.0; English, Spanish, Catalan, Galician, Basque, Portuguese, French, Italian, German), with optional speaker diarization.
pip install llama-index-readers-lokutor
export LOKUTOR_API_KEY=... # https://app.lokutor.com
from llama_index.readers.lokutor import LokutorReader
reader = LokutorReader(language="en", diarize=True) # language=None detects it
docs = reader.load_data("meeting.wav")
print(docs[0].text, docs[0].metadata["speakers"])
# index it
from llama_index.core import VectorStoreIndex
index = VectorStoreIndex.from_documents(docs)
load_data/aload_datatake a path,bytesor a file-like object, and return oneDocument.- Metadata:
file_path,language_code; withdiarize=Truealsospeakers; withinclude_words=Truethe per-word timings inwords. - Lokutor decodes WAV only (PCM 8 or 16 bit, mono or stereo, 8-48 kHz). Convert MP3/M4A first.
- API errors (bad key, unsupported audio, no balance) raise
RuntimeErrorwith Lokutor's message.
API docs: docs.lokutor.com. Licence: Apache-2.0.
Metadata
Release files for llama-index-readers-lokutor 0.1.0
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