AI Podcast Transcript Search Engine
Search engine allowing subscribers to search within AI generated podcast transcripts
In plain English
A useful moment inside a long podcast is easy to miss if you cannot search the words. Anjum Sayed's service turns episodes into written text, lets subscribers search that text, and can alert them when a phrase they care about is spoken. Researchers and people who track public conversation pay because listening to every episode would take too long. The AI does most of the transcribing, the search, the alerts, and the billing. Anjum still checks quality, helps subscribers, and handles audio that is unusual or sensitive.
~$4,296 MRR; $5,995 verified revenue last 30 days (TrustMRR/Stripe, Oct 23, 2026)
Operator: Anjum Sayed
Revenue independently checked: documents reviewed by a publication, or a public dashboard.
Not disclosed.
The tool stack
Payments
Whisper ↗Speech-to-text
Next.js ↗Web app framework
Prices are the vendors' published list prices as researched in Oct 2026 and change often — always check the vendor's pricing page.
Step-by-step setup
- Transcribe podcasts at scale.
- Full-text search for subscribers.
- Alerts for keyword mentions.
- Sell to researchers/PR.
What's automated vs. the human 15%
The machine does
- Core AI generation/analysis
- Billing and onboarding
You still do
- Product quality and support
- Distribution and marketing
- Compliance and edge cases
Overview
Search engine allowing subscribers to search within AI generated podcast transcripts
Operator: Anjum Sayed. Category on TrustMRR: Entertainment. Founded: 2022-11-01.
Realistic income
TrustMRR (synced Oct 23, 2026) shows about $4,296 MRR and $5,995 in Stripe-verified revenue over the last 30 days, $97,292 verified over its tracked history. This is one operator’s result, often after months or years of work, and doesn’t predict yours. Check the live listing — numbers change.
Risks
- Transcription compute cost.
- Copyright considerations.
- Startup cost and time to first dollar are not disclosed.
*Income figures are illustrative ranges based on public pricing and typical outcomes reported by practitioners, not guarantees. Most new online businesses earn little or nothing at first. Not financial, legal or tax advice.
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