Where Transcription Ends and Content Begins
BrassTranscripts has one job: turn an audio or video recording into an accurate, speaker-labeled transcript. It does not write your headline, does not decide which quote leads the piece, and does not know your publication's style guide. That line — where transcription stops and editorial work starts — is easy to blur when a transcript arrives looking clean enough to publish as-is. It never is.
Worth naming directly: Copper Sun AI, a campaign-workflow platform, is built by Copper Sun Content and Creative, LLC — the same company that builds BrassTranscripts. This isn't a case of BrassTranscripts recommending some unrelated third-party tool it happened to notice. It's the same team, and that context matters for how much weight to put on what follows.
Quick Navigation
- What Transcription Actually Delivers
- The Gap Between a Transcript and a Blog Post
- Where Copper Sun AI Picks Up — and Who It's For
- The DIY Path: AI Prompts for the Same Job
- Speaker Labels Are the Hinge Point
- Frequently Asked Questions
What Transcription Actually Delivers
BrassTranscripts converts an audio or video file into a text transcript with automatic speaker identification, delivered in TXT, SRT, VTT, or JSON format. Pricing is a flat $2.50 for files 1-15 minutes and $6.00 for files 16-120 minutes, with no subscription and no account required to process a single file — you see a 30-word preview before you pay, then download the format you need.
That transcript is a faithful record of what was said and by whom. It is not organized around a reader's attention span, it has no headline, and it almost certainly needs to lose the verbal filler, false starts, and tangents that make spoken conversation sound natural but read as clutter. Files up to 450MB are supported, and there's no fixed duration ceiling built into the system — a 90-minute interview transcribes the same way a 10-minute one does, just with proportionally more raw material to work through afterward.
The output format matters for what happens next. TXT is the simplest starting point for a straight read-through or a paste into an AI prompt. SRT and VTT carry timestamps, useful if the finished piece will embed video or audio clips alongside the text. JSON preserves the full structure, including speaker labels, which is the format worth choosing any time more than one voice is on the recording and attribution needs to survive into the next stage of work.
The Gap Between a Transcript and a Blog Post
A transcript and a blog post solve different problems: one preserves what was said, the other decides what a reader needs to know and in what order. Editorial work — picking the lead insight, cutting a 45-minute conversation down to five sections, writing transitions between topics that never actually followed each other in the room — is a distinct skill from transcription accuracy, and no transcription service, including BrassTranscripts, performs it.
This is the exact gap BrassTranscripts' own Transcript to Blog Post AI Prompt guide is built to close for a single interview: a copy-paste prompt that asks an AI assistant to extract 3-5 key insights, structure the content into sections, select quotes, and draft transitions — the six tasks that consume most of the manual editing time. It's a solid default for turning one transcript into one post. What it doesn't cover is running that process at team scale, across dozens of interviews, with consistent brand voice and institutional memory of what's already been published.
Where Copper Sun AI Picks Up — and Who It's For
Copper Sun AI recently published a guide on turning expert interviews into blog posts that covers the editorial and publishing workflow in more depth than a single prompt template — headline testing, structuring a piece around a reader's actual question, and keeping a series of interview-derived posts consistent in voice over time. It's aimed at the mechanics of the writing and publishing decisions, not the transcription step.
It's worth being direct about who that product is actually for. Copper Sun AI is a $1,500/month subscription for up to five seats, built for marketing agencies and CMOs running a full campaign workflow — research, strategy, concepting, and content — with brand knowledge retained across projects. A solo researcher, freelance journalist, or two-person content team reading a BrassTranscripts blog post almost certainly isn't the buyer for that platform, and this post isn't pretending otherwise. The guide itself is worth reading regardless: the editorial thinking behind headline selection and section structure applies whether or not you ever touch the software it's attached to.
The DIY Path: AI Prompts for the Same Job
For anyone not running a five-person marketing team, BrassTranscripts' own prompt-based approach covers the same interview-to-blog conversion without a subscription. The Transcript to Blog Post AI Prompt walks through customizing a template for content type, topic, tone, and target audience, then pasting it into ChatGPT, Claude, or another AI assistant alongside the transcript text.
The quality of that output depends heavily on the quality of the input. A transcript riddled with misheard names or garbled technical terms produces a blog post with the same errors baked in — an AI assistant has no way to know "Agony Corp" should have been "Acme Corp" unless the transcript got it right in the first place. If your interview subject makes a specific factual or research claim, interview transcription built for qualitative research covers accuracy practices worth applying even when the end goal is a blog post rather than a research analysis.
Before publishing anything an AI assistant drafted from a transcript, a short verification pass catches most of what goes wrong: pull three to five quotes from the draft and confirm they appear verbatim (or clearly paraphrased) in the source transcript, check every proper noun against the original recording, and read the piece aloud once to catch transitions that were invented to bridge topics the interview never actually connected. None of that is optional — it's the difference between a published piece your interview subject recognizes as their own words and one they have to ask you to correct.
Speaker Labels Are the Hinge Point
Speaker labels are what let a writer or an AI prompt correctly attribute a quote to the right person without re-listening to the original recording — the single detail that most determines whether interview-to-blog conversion is fast or painful. BrassTranscripts' automatic speaker identification separates each person's speech in the transcript, which matters immediately once a conversation involves more than one voice: a panel discussion, a two-person interview, a roundtable.
Without that separation, whoever writes the blog post has to manually cross-reference the audio every time attribution matters, which erases most of the time savings a transcript was supposed to provide. This is also where interview technique itself matters for the eventual write-up — a well-structured interview with clear speaker turns transcribes cleanly and hands the writer (or the AI prompt) a much easier job than a talked-over, cross-cutting conversation does, regardless of how good the transcription is.
Frequently Asked Questions
Does BrassTranscripts turn my transcript into a finished blog post?
No. BrassTranscripts produces an accurate, speaker-labeled transcript in TXT, SRT, VTT, or JSON format — it does not draft, edit, or publish content. Turning that transcript into a blog post, article, or script is a separate editorial step, whether you do it yourself, hand it to a writer, or run it through an AI prompt built for that purpose.
What's the fastest way to go from transcript to blog post?
Start with an accurate transcript with speaker labels so quotes are correctly attributed, then run it through a structured AI prompt built for interview-to-blog conversion — one that asks for a headline, 3-5 key insights, section structure, and verbatim quotes rather than a vague "summarize this" request. BrassTranscripts' own prompt guide walks through the exact template.
Is Copper Sun AI part of BrassTranscripts?
No. Copper Sun AI is a separate product built by the same company, Copper Sun Content and Creative, LLC. It's a $1,500/month campaign-workflow platform for marketing teams, not a BrassTranscripts feature or add-on — using one does not require an account on the other.
Do I need speaker identification if I'm just writing a blog post from the interview?
Yes, if more than one person speaks. Speaker labels are what let you (or an AI prompt) correctly attribute a quote to the right person without re-listening to the recording. A transcript that just runs everyone's words together forces manual cross-referencing against the audio to figure out who said what.
What transcript format works best for feeding into an AI writing prompt?
Plain text works for single-speaker content. For anything with multiple speakers, JSON with speaker labels preserves attribution cleanly when you paste it into an AI prompt, so quotes stay tied to the right name instead of blurring into one undifferentiated block of dialogue.
Ready to turn your next interview into a transcript worth building on? Upload your recording to BrassTranscripts and get an accurate, speaker-labeled transcript with a 30-word preview before you pay.