For developers, AI teams, and analysts

A podcast transcript API that returns more than text

REST access to transcripts, summaries, entities, sentiment, and trends across a growing catalog of major podcasts. Built for the workflows downstream of raw audio.

Episodes indexed
45,100
Public examples plus deeper app coverage
Mentions tracked
16,743,213
People, brands, products, and topics
Topics covered
611,637
Grouped from real podcast conversations

Transcripts are step one. The interesting work is downstream.

Most transcript APIs hand you a wall of text and call it done. PodZeus also extracts entities, normalizes them to a graph, scores sentiment per mention, aggregates daily counts, and runs quality gates on every episode before exposing it.

So the integration work in your codebase shrinks from weeks to hours. You skip the transcription pipeline, the entity NER, the disambiguation logic, the aggregation rollups — and start shipping the actual product.

Full transcripts

Pull full episode transcripts as JSON, with speaker labels and word-level timestamps where available.

Structured intelligence

Each episode comes with summary, key takeaways, chapter breakdown, top quotes, topics, and entity mentions — all queryable.

Trends and aggregates

Daily mention counts per topic and per entity. Pre-aggregated so you don't have to build the rollup yourself.

Webhooks

Subscribe to alerts on brand, person, or topic mentions. Webhook fires the moment a new matching episode is indexed.

API keys and quotas

Per-key rate limits, per-environment scoping, and audit logs. Standard API hygiene.

Predictable shapes

Boring, stable JSON. We version the API and announce breaking changes 60 days in advance.

Built for these workloads

AI products

Feed structured podcast intelligence into your own LLM workflows, agents, or chatbots.

  • Episode summaries for RAG retrieval
  • Entity graph for grounding
  • Quote-level citations with timestamps

Analyst and research teams

Pull mention deltas, sentiment shifts, and topic trends into your own data warehouse for reporting.

  • Daily aggregate exports to S3 or BigQuery
  • Per-brand and per-topic time series
  • Backfill historical episodes on request

Custom dashboards and apps

Build internal monitoring tools, white-label client dashboards, or embedded widgets on the PodZeus data layer.

  • REST endpoints for all entity types
  • Search across transcripts via API
  • Permission scoping per workspace

Sample episode pages — every field below is also in the API

Frequently asked questions

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