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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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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Claim this listing for $29Key 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 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
Limitations
Frequently Asked Questions
How do you determine the correct data to extract?
Is it possible to specify an output format?
How many tokens is an average request?
What happens if I go over my token limit?
Getting Started
- 1 Sign up to register for the free plan (includes 5,000 tokens).
- 2 Define the output schema specifying the desired fields and formats.
- 3 Provide your content (text or audio) to the API endpoint or batch upload.
- 4 Send requests to the API (example POST to https://fetch.jsonscout.com/ with api_key header) and fetch the structured JSON response.
Support
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
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