Google introduced Gemini 3.5 Transcribe on August 26. The company describes separate paths for real-time streaming and prerecorded audio, with capabilities including speaker attribution, word-level timestamps, custom vocabulary, formatting and multilingual recognition. These features can make product demonstrations, webinars, meetings and sales calls easier to search and reuse. They can also distribute a single transcription error across many pages and languages. Export content teams therefore need to treat voice as an evidence source, not as an automatically publishable asset.

Build a controlled vocabulary before processing audio

Model names, material grades, certification titles, ports, currencies, abbreviations and people's names are common failure points in technical speech. Maintain a vocabulary for each product line with the approved spelling, expected pronunciation, language, owner and applicable version.

The vocabulary should be a shared governed asset rather than one operator's private prompt. When a model is renamed or a standard is revised, the update should trigger review of recent transcripts and downstream content.

Alphanumeric entities deserve a dedicated verification step. One wrong character in a part number, order reference or standard identifier can connect a transcript to the wrong product record. Aggregate transcription quality does not remove the need to inspect decision-critical tokens.

Preserve speakers, timestamps and the original recording

A polished paragraph can hide who made a statement, whether it was corrected later and whether it represented a decision or an open question. Speaker attribution and timestamps should remain attached to the original audio so a reviewer can return to the exact evidence.

Cleaning filler words may improve readability, but editing must not turn “possibly,” “for this sample” or “subject to confirmation” into an unconditional statement. The edited transcript needs a change history for material corrections.

Before external reuse, the owner of the underlying fact should review the relevant segment. The reviewer is confirming the product or policy fact, not merely the grammar of the transcript.

Separate transcript states and permissions

Raw transcription is a working record. A verified summary can enter an internal knowledge base. A sourced, versioned excerpt may become a public FAQ, product explanation or insight. These are different asset states with different permissions.

Formatting alone should never promote a raw transcript to public status. Each publishable excerpt should point to an audio identifier, time range, speaker, product or policy version, reviewer and destination page. That connection supports later correction when a specification changes.

Sensitive calls may not be appropriate content sources at all. Consent, contractual scope and data-handling rules still apply. A transcription capability does not create permission to repurpose a conversation.

Localize the insight, not the transcription error

Multilingual recognition can help teams analyze interviews, demonstrations and calls from different markets. The localized article should still connect to the same controlled fact record and be reviewed by someone who understands local technical and purchasing language.

A useful workflow extracts verified questions, objections, terminology and use cases from the voice record. Chinese and English writers then organize those facts for different search intents. The title, examples and action guidance can differ by audience while model numbers, limits and source evidence remain consistent.

This is more valuable than sentence-by-sentence translation because buyers in different markets may frame the same requirement differently. It also supports GEO by creating clear, attributable text around the questions buyers actually ask.

What this means for Chinese exporters

Much of an exporter's practical knowledge lives in sales calls, engineering explanations, exhibitions and live demonstrations. Accurate transcription lowers the cost of finding that knowledge. It also increases the speed at which an unchecked statement can travel into a website, sales deck and agent knowledge base.

A governed voice-evidence workflow turns expert conversation into reusable content without pretending the first transcript is authoritative. Over time, it creates a traceable library of real buyer questions, technical explanations and product boundaries.

Action checklist

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