# Transcript Insights — AI Summary, Chapters & Repurposing (`noniner/transcript-insights`) Actor

Point it at any transcript dataset (YouTube, podcast, webinar, meeting) and get an AI summary, key takeaways, timestamped chapters, quotable moments, show notes and ready-to-post content (blog outline, social snippets). Turn long content into a content machine.

- **URL**: https://apify.com/noniner/transcript-insights.md
- **Developed by:** [Fredrik Hansson](https://apify.com/noniner) (community)
- **Categories:** AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$200.00 / 1,000 transcript processeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Transcript Insights — AI Summary, Chapters & Repurposing

Already pulling transcripts? Turn one video or podcast into a week of content. Point this at **any transcript dataset** (YouTube transcript scraper, podcast, webinar, meeting) and get it repurposed by AI.

### What you get (per transcript)

- **Summary** and **key takeaways**
- **Chapters** — logical sections to timestamp
- **Quotable moments**
- **Show notes**
- **Blog outline** ready to write
- **Social posts** for X / LinkedIn

### How to use

1. Run any transcript scraper on Apify (e.g. a YouTube transcript scraper).
2. Copy its **dataset ID**.
3. Run this actor with that `datasetId`. Each row = one piece of content.

```json
{ "datasetId": "YOUR_TRANSCRIPT_DATASET_ID", "maxItems": 10 }
```

For creators, podcasters, marketers and agencies repurposing long-form content.

### Pricing

Pay per transcript processed. Faithful to the source — it never fabricates quotes.

Actively maintained.

***

**Part of the [No Niner](https://noniner.io) toolkit** — no-code web scraping, enrichment & AI data tools, all pay-per-use. Browse the full set at **[noniner.io](https://noniner.io)**.

# Actor input Schema

## `datasetId` (type: `string`):

The dataset ID from any transcript scraper's run (e.g. a YouTube transcript scraper). The actor auto-detects the transcript text and title fields. Each row is treated as one piece of content.

## `textField` (type: `string`):

Force a specific field for the transcript text (e.g. 'transcript', 'text', 'captions'). Leave empty to auto-detect.

## `maxItems` (type: `integer`):

Cap on how many transcripts to process.

## `model` (type: `string`):

gpt-4o-mini is the cost-effective default.

## Actor input object example

```json
{
  "maxItems": 10,
  "model": "gpt-4o-mini"
}
```

# Actor output Schema

## `results` (type: `string`):

All rows in the default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("noniner/transcript-insights").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("noniner/transcript-insights").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call noniner/transcript-insights --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,noniner/transcript-insights"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/oyEBzclWDDvdyNg8U/builds/Ut0RHZifZnlR8pD3a/openapi.json