Meetings & Interviews

Meetings and interviews are the hardest kind of audio to work with: several voices, overlapping speech, and a recording nobody wants to sit through twice. This section covers the workflows that make that material usable — recording setup, uploading, speaker identification, and turning a raw transcript into notes, quotes, or coded data. Expect guides on interview transcription for research and journalism, keeping speaker labels accurate across a long conversation (PrismaScribe identifies up to 32 speakers per file), renaming speakers so a transcript reads like a conversation, and pulling decisions and action items out of a meeting recording. We also cover the unglamorous parts: consent and recording etiquette, file organization across a long project, and what to check before you quote someone. Written for researchers, journalists, recruiters, and anyone who runs more calls than they can remember.

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ALL ARTICLES · 11 posts

meeting transcription service

Meeting Transcription Service Reality Check: Your Transcript Is Only as Useful as How Fast You Can Find Something in It Three Weeks Later

A meeting transcription service doesn’t fail when it produces inaccurate text, it fails when no one can find the right information weeks later. Most transcripts are delivered instantly but quickly buried in folders, Slack threads, or inboxes, turning them into forgotten records. The real value comes from making transcripts searchable, structured, and easy to retrieve by keyword, speaker, or decision point. Without that layer of organization, even the most accurate transcript becomes just another file that gets ignored when it’s needed most.

Armin9 min
transcribe interview audio to text

Speaker Diarization Is the Feature That Changes Everything: What Happens When You Transcribe Interview Audio to Text Without It

When you transcribe interview audio to text without speaker diarization, you get a complete transcript that is still difficult to use. This article explains why speaker labeling matters, how diarization works, and why it is critical for journalists, researchers, and professionals who rely on accurate interview transcripts for decision-making and content creation.

Armin8 min
interview transcription tool

From Raw Recording to Published Story: A Journalist's Interview Transcription Tool Workflow

Journalists work under constant deadlines, making speed and accuracy essential. This guide explores a practical interview transcription tool workflow, showing how AI-powered transcription helps transform raw recordings into searchable transcripts, streamline quote verification, improve story development, and reduce time spent on manual transcription with PrismaScribe.

Armin13 min
Can AI Transcribe Multiple Speakers

Can AI Transcribe Multiple Speakers? How Modern AI Now Identifies Different Voices

Yes, AI can transcribe multiple speakers using speaker diarization, which identifies and separates different voices in an audio recording. The system analyzes speech patterns across each audio channel to label speakers and generate structured transcripts. These transcripts help users easily follow conversations and capture every important note, even in discussions with multiple speakers.

Armin7 min
What Is the Best AI Meeting Transcription Tool

What Is the Best AI Meeting Transcription Tool? Why Meetings Are Becoming the New Documents

The best AI meeting transcription tool automatically joins meetings, records conversations and converts speech into searchable text in real time. It uses AI features to generate summaries, highlight key points and extract key insights so the entire team can review discussions later. These tools help replace manual note taking and turn meetings into organized, actionable documents.

Armin8 min
Why Short Free Trials Don’t Show If a Free AI Transcription Tool for Meetings Is Right

Why Short Free Trials Don’t Show If a Free AI Transcription Tool for Meetings Is Right

Many teams start with a free AI transcription tool for meetings, but short trials rarely reflect real usage. Limited audio samples hide issues like speaker drift, accents, interruptions, and long-form transcription errors. This article explains why meaningful evaluation requires full meeting recordings, honest testing conditions, and transparency before upgrading to a paid plan.

Armin6 min

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Meetings & Interviews — Blog | PrismaScribe