Podscan
What is Podscan?
Podscan is a podcast intelligence platform that turns podcast episodes into searchable transcripts, structured metadata, audience insights, and monitoring signals. It uses automated transcription and AI analysis to help marketers, journalists, researchers, investors, and developers find relevant conversations without manually listening to entire episodes. Users can search podcast content, track brands and topics, investigate guest appearances, analyze trends, and receive alerts when monitored terms appear. Podscan also provides REST API access, MCP connectivity, webhooks, exports, and Firehose delivery for teams building podcast-powered workflows. The platform offers a 10-day free trial without requiring a credit card, while ongoing access is provided through paid plans.
How to use Podscan?
1. Create a Podscan account and start the 10-day free trial without entering a credit card. 2. Search indexed podcast episodes or create alerts for brands, people, organizations, products, and topics. 3. Review timestamped transcripts, episode context, extracted insights, and source links, then export the findings or connect them to your workflow through the API or webhooks.
Podscan's Core Features
Full-text transcript search: Search across indexed podcast transcripts to find relevant phrases, people, companies, and topics quickly.
Timestamped transcripts: Jump from a transcript match to the relevant moment in the audio for faster source verification.
Podcast monitoring alerts: Track selected names, brands, products, and keywords and receive notifications when matching episodes are processed.
AI-powered context analysis: Add contextual intelligence to keyword matches so teams can prioritize relevant mentions and reduce manual review.
Podcast intelligence data: Access episode metadata, entities, topics, sentiment, estimated reach, and other structured information for research and analysis.
REST API: Retrieve podcast, episode, transcript, alert, mention, and intelligence data for custom applications and internal workflows.
MCP connectivity: Connect AI agents and coding tools to Podscan's podcast search, monitoring, transcript, and trend-analysis capabilities.
Webhook and Firehose delivery: Stream eligible episode, transcript, metadata, alert, and list events directly into customer systems.
Reports and exports: Create historical reports and export available podcast intelligence data in formats suited to analysis and downstream systems.
Multilingual transcription: Process podcast audio in major podcast languages and make normalized transcript content searchable.
Podscan's Use Cases
- #1
Journalists searching podcast transcripts for source leads, public statements, and verifiable quotes
- #2
PR teams monitoring brand, executive, competitor, and crisis-related mentions across podcasts
- #3
Marketing agencies researching shows, sponsors, guests, topics, and campaign-relevant conversations
- #4
Investors tracking company mentions, market themes, executive appearances, and sector discussions
- #5
Researchers comparing recurring themes, opinions, and topic coverage across podcast episodes
- #6
Developers building podcast discovery, monitoring, analytics, or content intelligence applications
- #7
Newsrooms creating assignment-desk watchlists for people, organizations, bills, products, and developing stories
Frequently Asked Questions
Analytics of Podscan
Monthly Visits Trend: Jun 2025 - Jul 2026
Traffic Sources
AI Channel Traffic Trends
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 31.43% |
| Israel | 4.32% |
| Canada | 4.29% |
| Australia | 3.45% |
| United Kingdom | 3.19% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| podscan | 2.2K | $6.23 |
| spider man brand new day post credit scene | 21.4K | -- |
| смотреть интервью даниила смирнова с дараганом | -- | -- |
| tony femino podcast | 770 | -- |
| たまこやの二本歯の下駄 ポッドキャスト | -- | -- |
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