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if not convert_to_srt: return
for idx, p in enumerate(root.xpath("//tt:p", namespaces=ns), start=1): begin = p.get("begin") end = p.get("end") text = "".join(p.itertext()).strip() if not begin or not end or not text: continue # Convert 00:00:02.000 → SRT time format (commas for ms) begin_srt = begin.replace(".", ",") end_srt = end.replace(".", ",") cues.append(f"{idx}\n{begin_srt} --> {end_srt}\n{text}\n") ttml download
for f in sorted(glob.glob("seg_ .ttml")): tree = etree.parse(f) for p in tree.xpath("// [local-name()='p']"): div.append(p) if not convert_to_srt: return for idx, p in enumerate(root
If you’ve ever tried to grab captions from a streaming service like HBO Max, Paramount+, or even some corporate video platforms, you’ve likely run into a file format that isn’t .srt or .vtt . Instead, you saw .xml or .ttml . Welcome to the world of Timed Text Markup Language (TTML)—a powerful, verbose, and often misunderstood standard. GET /api/captions/video123
GET /api/captions/video123?format=ttml Authorization: Bearer <token> You can find these endpoints by inspecting the tab in DevTools. 3. Understanding TTML Structure (A Quick Reference) Here’s a minimal TTML file:
# Save raw TTML with open("captions.ttml", "wb") as f: f.write(resp.content)
import requests from lxml import etree def download_ttml(url, headers=None, convert_to_srt=True): resp = requests.get(url, headers=headers) resp.raise_for_status()
