About

About Podlens

Podlens is the AI-powered bias intelligence platform for podcasts, YouTube shows, and audio content.

What we do

Podlens analyzes any podcast or YouTube episode across 6 bias dimensions, grounded entirely in the actual transcript. No reputation scores. No crowd opinions. No guessing. Every finding comes with direct transcript evidence so you can verify it yourself.

Political lean — left/center/right framing
Factual density — sourced vs unsourced claims
Source diversity — how many perspectives cited
Framing patterns — loaded language detection
Host credibility — how rigorously claims are challenged
Omission risk — what’s missing from the conversation

Over 1 million podcasts are indexed on Podlens. Any YouTube video, Spotify episode, Apple Podcast, or direct audio URL can be analyzed.

Founded in 2026

Podlens was founded in 2026 with a simple premise: listeners deserve to know the biases in what they’re hearing before they hear it. Not after. Not from a political label someone assigned. From the actual words spoken.

We are funded entirely by subscriber revenue. No advertising relationships. No data sales. No conflicts of interest. Ever.

Our mission

A force of clarity in the age of noise. Podlens provides intelligence, not judgment — showing listeners what they are consuming so they can draw their own conclusions.

Read the full mission statement →

How it works

Paste any podcast URL. Podlens transcribes it, scores it across 6 bias dimensions, and surfaces what you need to know before — and while — you listen. Results include an AI-narrated audio briefing, live transcript sync, and shareable analysis cards.

See the full walkthrough →

Methodology

Every score is explainable, tied to transcript evidence, and applied symmetrically across the political spectrum. Our scoring formula, dimension weights, and known limitations are published openly.

Read the open methodology →

Built for listeners who want clarity.

Contact

Questions, feedback, or press inquiries: hello@podlens.app

To report a scoring issue: include the episode URL and the specific finding you believe is inaccurate. We review all reports.