Multilingual Transcription Prompts

BrassTranscripts produces speaker-labeled transcripts in the source language. This prompt takes that output and produces a full English translation that preserves every [SPEAKER_01] label and timestamp — so the conversation structure stays intact.

Best for: Dutch, Spanish, French, German, and Portuguese audio recordings where the downstream audience reads English.

International team meetings often involve two or more languages in the same recording. This prompt reads the full transcript regardless of language and produces a single, structured English summary — decisions, action items, and speaker attribution included.

Best for: International team meetings, cross-border client calls, and multilingual board sessions where stakeholders need a single English record.

Before translating or analyzing a multilingual transcript, you need to know exactly which languages are present and who uses them. This prompt scans the full transcript, identifies each language, maps it to the speaker labels, and reports confidence levels and first-occurrence timestamps.

Best for: Researchers, content archivists, and QA reviewers who need a documented record of language distribution before downstream processing.

Code-switching — alternating between languages within a conversation — is common in bilingual communities, international negotiations, and academic fieldwork. This prompt identifies every transition point, classifies whether the switch happened mid-sentence or between sentences, and surfaces observable patterns such as topic-triggered or participant-triggered switching.

Best for: Linguistics researchers, sociolinguistics educators, and anthropologists studying language behavior in bilingual or multilingual communities.

Proper nouns, brand names, and technical terms appear in their original language regardless of the meeting language — and AI transcription engines sometimes misspell them when they appear in a non-primary language context. This prompt extracts every proper noun and technical term across all languages, groups them by category, and flags potential transcription errors for human review.

Best for: Business intelligence analysts, CRM enrichment teams, and sales operations professionals who need clean entity data from international call recordings.

When leadership needs a concise English summary of a non-English meeting, a full translation is often too long to be useful. This prompt produces a tight 400-word brief — situation, decisions, action items, risks, and recommended follow-up — regardless of the source language or languages of the original recording.

Best for: Executives reviewing non-English subsidiary meetings, project managers receiving international client call summaries, and global operations teams that run meetings in the local language but report up in English.

AI transcription engines perform well on their primary training languages but introduce specific error types on accented or mixed-language audio: phonetic proper-noun misspellings, missing diacritical marks, false cognates, and currency or unit errors. This prompt targets those error types specifically — it does not rewrite or paraphrase, it corrects and logs.

Best for: Editors and QA reviewers cleaning up transcripts from non-native English speakers, bilingual interviews, and multilingual conference calls before the transcript is distributed or archived.

Localization projects need transcripts segmented by speaker, timestamp, and language — not just a flat text file. This prompt converts any BrassTranscripts output into a structured segment table tagged by language and code-switch status, ready to hand off to a localization platform or subtitle editor without manual re-segmentation.

Best for: Video producers, subtitle editors, localization project managers, and e-learning developers working with multilingual source recordings that will be dubbed or subtitled in additional languages.