json-scout

json-scout

JSON Scout converts unstructured content into structured JSON using LLMs (no REGEX), offering an API, batch processing, and token-based plans for text and audio data extraction.

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Freemium API Enterprise 75/100
#162 in Business Intelligence (162 tools)
Just launched
Data reviewed Sep 2, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Business Intelligence

What it does

Business Intelligence software for decision-makers comparing workflow fit and alternatives.

Best fit

Business Intelligence

Pricing snapshot

Freemium from $0/ Month

Next step

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json-scout

JSON Scout is a service that converts unstructured content into structured JSON data by using large language models rather than regular expressions. The product emphasizes automatic data cleaning, custom output formats, and human-like precision for extracting dates, addresses, reviews, customer info, audio files, and other content types. JSON Scout exposes an API and batch processing to integrate into existing data pipelines, and offers token-based pricing including a free tier with 5,000 tokens.

AI-powered tool to convert unstructured text to structured JSON data without REGEX.

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Key Features

LLM-powered extraction

Uses large language models (LLMs) to locate and extract the desired fields from unstructured text and audio instead of relying on regular expressions.

Automatic data cleaning

Performs automatic cleaning and normalization of extracted data (for example, date formatting) as part of the extraction process.

Custom output formats

Accepts user-defined output schemas (e.g., specific date formats) so users can specify how they want extracted fields formatted.

API integration & code examples

Provides an HTTP API (example POST to https://fetch.jsonscout.com/) with sample code in Python and guidance for other languages.

Batch processing & scalability

Supports batch processing designed for scale to handle single requests or hundreds of requests as part of a data pipeline.

Text and audio extraction

Supports extraction from text and audio data as called out in the pricing/features list.

Token-based usage and limits

Usage is measured in tokens with different token allocations per pricing tier.

GPT-4o model option

Lists GPT-4o as the model available for processing on the platform.

Pricing

Free Tier Available

Free tier includes 5,000 tokens, 250 character limit, text and audio data extraction, GPT-4o model access, and basic batch processing.

Free Plan

$0/ Month
  • 5,000 Tokens
  • 250 Character Limit
  • Text Data Extraction
  • Audio Data Extraction

Starter

$9/ Month
  • 500,000 Tokens
  • 500 Character Limit
  • Text Data Extraction
  • Audio Data Extraction

Standard

$99/ Month
  • 10,000,000 Tokens
  • 500 Character Limit
  • Text Data Extraction
  • Audio Data Extraction

Enterprise

Contact Sales / Custom
  • Custom Token Limit
  • No Character Limit
  • No Batch Limit
  • Text Data Extraction

Use Cases

Structured date extraction

Extract and normalize purchase or submission dates from freeform text into a specified date format.

Address and customer info extraction

Pull addresses and customer information fields from unstructured content for ingestion into databases or CRMs.

Reviews and sentiment-related fields

Extract review text, ratings, and related fields from customer feedback for analytics.

Audio transcription-based extraction

Process audio files to extract structured fields from spoken content.

Batch pipeline processing

Integrate into existing ETL/data pipelines to process many documents or records at scale via the API.

Integrations

HTTP API

REST API endpoint for programmatic access; example POST usage shown in code samples.

Python

Provides a Python example in the documentation and is supported for integration.

Node.js

Mentions Node.js as an integration option for incorporating JSON Scout into existing pipelines.

Benefits

Eliminates the need to write and maintain complex REGEX patterns by using LLMs to understand context and typos.
Saves development and maintenance time through automatic data cleaning and human-like precision.
Scales with batch processing and token-based plans suitable for small projects to enterprise workloads.

Limitations

Free plan has a 250 character limit and 5,000 tokens monthly allocation.
Starter and Standard plans list a 500 character limit (per request) and Standard has a 100 batch limit.
Token usage varies by request and reported averages (e.g., ~300 tokens for a 250 character request) which may change depending on output.

Frequently Asked Questions

How do you determine the correct data to extract?
We leverage the power of LLMs to determine your desired content output.
Is it possible to specify an output format?
Yes! If you require a date formatted in a specific manner, provide it after your desired output. Check the examples above.
How many tokens is an average request?
We've found that an average request with a 250 character limit is about 300 tokens. This may change on your desired outputs.
What happens if I go over my token limit?
If you reach your token limit, you can wait for the monthly reset or upgrade your plan. Premium plan users should contact sales.

Getting Started

  1. 1 Sign up to register for the free plan (includes 5,000 tokens).
  2. 2 Define the output schema specifying the desired fields and formats.
  3. 3 Provide your content (text or audio) to the API endpoint or batch upload.
  4. 4 Send requests to the API (example POST to https://fetch.jsonscout.com/ with api_key header) and fetch the structured JSON response.

Support

email

General contact: [email protected]

sales

Contact sales for Enterprise and optional integration support (refer to site contact).

docs

API docs referenced on the site ("API docs" link in navigation) and code examples included on the site.

API

Available: Yes

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