pip install transcriptfetch-sdk

from transcriptfetch import TranscriptFetch

# api_key falls back to the TRANSCRIPTFETCH_API_KEY env var
tf = TranscriptFetch(api_key="tf_live_...")

t = tf.transcripts.video("https://youtu.be/aircAruvnKk")
print(t.title)
print(t.text)
for seg in t.segments:
    print(f"[{seg.start:.1f}] {seg.text}")

print("credits left:", t.usage.balance)

tf.transcripts.video(video)                    # single transcript (text + segments)
tf.transcripts.channel(channel, limit=, cursor=)   # a channel's videos (metadata)
tf.transcripts.playlist(playlist, limit=, cursor=) # a playlist's videos
tf.transcripts.search(query, limit=, cursor=)      # search YouTube
tf.transcripts.batch(video_ids)                # up to 50 transcripts in one call
tf.health()                                    # unauthenticated liveness probe

for video in tf.transcripts.iter_channel("@lexfridman", limit=10):
    print(video.video_id, video.title)

import asyncio
from transcriptfetch import AsyncTranscriptFetch

async def main():
    async with AsyncTranscriptFetch() as tf:
        t = await tf.transcripts.video("aircAruvnKk")
        print(t.text)
        async for v in tf.transcripts.iter_search("how transformers work", limit=10):
            print(v.title)

asyncio.run(main())

from transcriptfetch import (
    AuthenticationError, InsufficientCreditsError, InvalidRequestError,
    RateLimitError, IdempotencyConflictError, UpstreamUnavailableError,
    InternalServerError, APIError, APIConnectionError, APITimeoutError,
)

try:
    tf.transcripts.video("bad")
except InsufficientCreditsError:
    ...                       # 402: top up at /pricing
except RateLimitError as e:
    print(e.retry_after)      # 429
except APIError as e:
    print(e.status, e.code, e.request_id)

pip install -e ".[dev]"
ruff check . && mypy src && pytest