A recorded webinar and a speaking customer both contain speech, but they need different inference paths. Tencent’s Flash recognition API addresses already captured recordings rather than word-by-word live feedback.
Choose by timing requirements
The Flash file reference describes sending an audio recording with HTTPS and retrieving a recognition result. Its documented constraints include file-size and duration limits, plus an explicit list of audio formats. That supports ingesting archived interviews or preparing subtitles after a meeting. It should not be marketed as zero-latency simultaneous captions. A long 90-minute recording may fit the file constraints, but that alone does not predict completion time under a particular queue or model.
Preserve the original format and transcript provenance
Retain the input file checksum, capture sample rate, channel layout, model option and upload timestamp. If you downmix stereo to mono, record that choice because separate speakers may be easier to review with their original channels. When a file is corrupted or over the limit, return an actionable validation error instead of silently truncating. For a long audiobook or classroom lecture, split only at safe boundaries and maintain offsets so final subtitle timestamps remain tied to the master timeline.
Language availability needs exact-engine checks
The 2026 China API documentation lists multilingual and Chinese regional dialect options, including Turkish and Arabic. This should not be read as evidence that one model gives the same transcript quality in every locale or that the global and mainland services share an entitlement. For a multilingual call center, build a measured sample for each actual accent and topic, with double-labeled ground truth and error categories. Never substitute language-list length for speech quality.
Edit before publishing subtitles
Machine output can mishear product names, medical terms, negation, dates and quantities. Build a human correction pass for those high-impact tokens. For SRT or WebVTT publication, enforce readable line lengths, consistent caption segmentation and timing after any transcript correction. The language of captions also requires human attention to punctuation, speaker identity and non-speech cues. File ASR is the draft stage, not a substitute for final accessibility sign-off.
Operational choice
Use this route when batching is acceptable and the organization can satisfy the provider’s security and regional requirements. Use streaming WebSocket ASR when actual listener feedback is necessary. A local model can serve regulated offline workflows, but then hardware, updates and model licensing become the operational cost. These choices cannot be collapsed into a single vendor accuracy ranking without independent tests.
Evidence, availability and commercial-rights boundary
Research cutoff: 25 October 2026. Provider documentation is evidence of its published interface or policy, not independent product testing. No performance score, hands-on trial, customer consent, territory-wide entitlement or legal clearance is claimed. Confirm the exact version, selected region, voice rights, data flow, account limits and current service terms before deployment. Unknown model release dates, account prices and plan limits are deliberately left unasserted; monetary claims belong to the separately dated AI10 pricing ledger. Where documentation is undated or dynamic, the public page is not treated as an archival snapshot of every earlier tier.