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Field Extraction apps and integrations
Field Extraction apps turn supplied documents, messages, logs, and raw text into structured JSON fields, including invoice, delivery, purchase-order, campaign, and requirement details. Listings cover read-only tools that report extracted values, missing fields, validation errors, and normalized results without updating external systems.
24 apps
Top field extraction apps
Open full directory →Developer Tools
Enum Value Normalizer
By Beike Yan
Enum Value Normalizer normalizes a raw free-text value into one of a fixed list of allowed enum values. Use it when a workflow, API, form, database, or downstream system only accepts specific enum values, but the user or model provides a value in a different format, such as different casing, spacing, underscores, or hyphens. The app takes a raw value and an allowed values list, then returns a structured result with the normalized value, whether it is supported, a confidence score, status, and error information when needed. This app is read-only. It does not create new enum values, make business decisions, explain business meaning, call external systems, store user data, or modify external content.
Prompts: 3
Business & Operations
Purchase Order Field Extractor
By Beike Yan
Purchase Order Field Extractor extracts structured fields from raw purchase order text. It returns the purchase order number, supplier name, buyer name, item list, currency, requested delivery date, shipping address, notes, missing fields, source text, and errors. It is designed for purchase order processing workflows where submitted order text needs to be converted into a stable structured JSON result. It does not create purchase orders, approve purchase orders, validate suppliers, check inventory, calculate taxes, send emails, contact vendors, make payments, or update external systems. The app is stateless, read-only, and only processes the submitted text for the current request.
Prompts: 3
Business & Operations
Support Ticket Extractor
By Beike Yan
Support Ticket Extractor extracts structured fields from raw customer support messages. It identifies explicitly stated customer name, customer email, issue summary, product or service, reported problem, requested action, urgency signals, missing fields, and source text. The app is designed for support workflows where unstructured customer messages need to be converted into consistent structured ticket data before review, routing, or downstream processing. It is read-only and stateless. It does not answer customers, draft replies, contact users, create tickets, submit tickets, store data, call external APIs, or make priority decisions.
Prompts: 3
Business & Operations
Return Reason Normalizer
By Beike Yan
Return Reason Normalizer standardizes raw customer return reason text into one fixed category. It is designed for support and operations workflows where return reasons need to be normalized before downstream review, routing, or reporting. The app returns a structured result with normalized_reason, confidence, reason_text, matched_keywords, and errors. It does not approve returns, reject returns, assign blame, reply to customers, modify orders, contact anyone, or call external systems. The app is read-only, deterministic, stateless, and does not require login or data storage.
Prompts: 3
Developer Tools
Error Log Parser
By Beike Yan
Error Log Parser converts raw error logs and stack traces into a structured JSON object. It extracts the error type, file path, line number, core message, raw excerpt, missing fields, and parsing errors. Use it when a developer workflow, Codex repair loop, or agent pipeline needs stable structured error details from a provided log before routing, analysis, or repair. The app only processes the submitted log text and returns structured parsing results. It does not fix code, explain root causes, run commands, access files, call external systems, or provide debugging advice.
Prompts: 3
Developer Tools
Payload Completeness Checker
By Beike Yan
Payload Completeness Checker helps verify whether a JSON payload is ready for submission based on a provided required schema. Use it when you have a payload object and a required_schema object, and want to check whether required fields are present and whether basic expected types match. The app returns a structured result showing whether the payload is complete, which fields are missing, and which fields have type mismatches. It is read-only. It does not submit payloads, call external systems, store user data, modify data, fix the payload, or make business decisions.
Prompts: 3
Developer Tools
Requirements Extractor
By Beike Yan
Requirements Extractor is a read-only utility that helps organize raw project requirement text into structured JSON for Codex and Agent project preparation. It extracts explicitly stated functional requirements, constraints, acceptance criteria, missing fields, source text, and structured errors from user-provided requirement text. The app only extracts information that is clearly present in the input. It does not infer missing requirements, make product decisions, provide advice, write code, submit forms, store data, authenticate users, or process support tickets.
Prompts: 3
Productivity
Key-Value Pair Extractor
By Beike Yan
Key-Value Pair Extractor extracts explicitly stated key-value pairs from raw text into structured output. It works with field-like text such as "Name: Alice", "Email = alice@example.com", or "Status - active". The app returns extracted pairs, missing values, and structured errors. It is read-only and deterministic. It does not summarize text, rewrite keys, infer missing values, validate facts, provide advice, access external data, or perform external actions.
Prompts: 3
Business & Operations
Shipping Delay Extractor
By Beike Yan
Extracts structured fields from shipping delay notices, including order number, carrier, tracking number, original delivery date, new delivery date, delay reason, affected items, and customer notice. This app is read-only and only processes the text provided by the user. It does not decide responsibility, compensate customers, modify orders, reschedule deliveries, send messages, contact carriers, or call external systems.
Prompts: 3
Finance
Invoice Field Extractor
By Beike Yan
Invoice Field Extractor extracts structured fields from invoice text, including invoice number, supplier, buyer, dates, line items, subtotal, tax amount, total amount, currency, billing address, payment terms, missing fields, and errors. It is read-only and does not approve invoices, pay invoices, provide tax or accounting advice, send emails, contact suppliers, or modify external systems.
Prompts: 3
Productivity
Talonic
By Talonic GmbH
Talonic helps users turn documents such as PDFs, scans, invoices, contracts, certificates, statements, and forms into schema-validated JSON. Users can extract structured fields, convert documents to markdown, search and filter their Talonic workspace, manage reusable extraction schemas, check document status, request browser upload links, and view credit balance information.
Prompts: 3
Productivity
Customer Info Validator
By BEIKE YAN
Check whether customer or sales lead records contain all required information. The app identifies present and missing fields, supports custom field requirements, and treats valid values such as 0 and false correctly. It is read-only and does not score customers, predict sales outcomes, update CRM records, or perform external actions.
Prompts: 3
Productivity
RFP Response Checker
By BEIKE YAN
RFP Response Checker is a read-only service that extracts explicitly stated requirements from user-provided RFP text and checks whether a supplied response addresses each requirement. It returns evidence-linked results showing addressed, partially addressed, and not addressed items without inventing unstated requirements.
Prompts: 3
Business & Operations
Refund Request Extractor
By Beike Yan
Refund Request Extractor extracts structured fields from customer refund messages, including order ID, product name, refund reason, customer request, urgency label, missing fields, source text, and errors. It does not approve refunds, write replies, modify orders, contact customers, or call external systems.
Prompts: 3
Productivity
Product Listing Validator
By BEIKE YAN
Product Listing Validator checks whether product listing data includes the required fields before review or publishing. It returns a structured completeness result with present fields, missing fields, and validation errors, helping sellers and product teams quickly spot incomplete listing information.
Prompts: 3
Developer Tools
Required Fields Validator
By Beike Yan
Checks user-provided objects against a list of required fields. Returns structured output indicating missing or invalid fields. Intended for structured data validation, not free-form analysis.
Prompts: 3
Developer Tools
API Response Cleaner
By Beike Yan
Filters raw API responses by keeping only requested fields and reporting which fields were missing or removed. It does not call external APIs or modify data.
Prompts: 3
Business & Operations
Delivery Address Extractor
By Beike Yan
Delivery Address Extractor extracts structured delivery fields from customer-provided delivery messages. It is designed for customer support and operations workflows where delivery details are received as natural language text. The app returns fixed structured fields including recipient name, phone number, delivery address, delivery note, preferred delivery time, missing fields, source text, and errors. It is read-only, stateless, and only processes the submitted text for the current request. It does not judge whether delivery is possible, contact couriers, modify orders, call external systems, store user data, or write customer replies.
Prompts: 2
Developer Tools
Date Range Validator
By Beike Yan
This App checks whether a start date and end date are valid and calculates the duration. It ensures that the date range is logical, returns errors for missing or invalid fields, and never performs external actions. Use this App whenever you need consistent, structured date range validation.
Prompts: 2
Business & Operations
Data247
By LogicTree, Inc.
Data247 brings real-time contact and identity data into ChatGPT, for identifying and verifying contact information, fraudulent activity, TCPA compliance, and more. Ask in plain language and ChatGPT runs the lookup for you: confirm whether a phone line is active and what carrier and line type it is, check whether an email is deliverable, validate a postal address, or find the person behind a phone or email. Before you call or text a US number, check it against the Do-Not-Call registry, and add numbers to your internal DNC list when someone opts out. Looking into a suspicious signup or order? Geolocate the IP for proxy/VPN signals and screen the details for fraud. Upload spreadsheets or lists of data to be cleaned, appended to, or validated, and ChatGPT will consult Data247 and give it back to you completely processed. It's handy for keeping a CRM clean, validating and enriching leads before outreach, staying compliant with calling rules, and reviewing flagged accounts. You must have an active Data247 account, and lookups are billed per use against your prepaid balance — checking your balance and rate card is free, and you can ask for either anytime.
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Productivity
Form Field Extractor
By Beike Yan
Form Field Extractor extracts field names and values from user-provided form text and returns a structured field result. It is designed for forms such as registration forms, application forms, customer intake forms, feedback forms, onboarding forms, and similar business form text. The app can identify form-like lines, extract field names and values, normalize field names when requested, identify empty fields, and provide a short extraction summary. This app is read-only. It does not submit forms, modify forms, validate required fields, check whether a form is ready to submit, approve or reject applications, contact people, send emails, call phone numbers, update CRM systems, update databases, or perform any external system action.
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Business & Operations
Campaign Requirement Extractor
By Beilke Yan
Campaign Requirement Extractor extracts structured campaign requirement fields from campaign request text. It returns campaign name, objective, channel, budget, deadline, missing fields, source text, and errors. It does not design campaign strategy, judge budget reasonableness, write marketing copy, recommend channels, publish, schedule, send messages, update systems, or take operational actions. The app is read-only, stateless, uses no external APIs, stores no data, and only processes the submitted text for the current request.
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Business & Operations
Support Message Classifier
By Beike Yan
Support Message Classifier classifies customer support messages into structured fields for routing or human review. It returns issue type, user request, urgency label, missing fields, source text, and errors. The app does not reply to customers, promise solutions, update ticket systems, contact customers, call external APIs, or modify records. It is read-only, stateless, and only processes the submitted text for the current request.
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Data-Analytics
Qmutator
By Qmutator
Qmutator turns raw product feeds into clean, validated catalogs — and automates what happens to them, from transformations and image processing to channel-ready exports, through QFlow pipelines. This connector puts that entire workflow into a conversation: - Onboard a feed by pasting a URL. Claude inspects the file, proposes a schema and field mappings, verifies them against real samples, and starts the import. - Interrogate your catalog. "Which products violate the price constraint?" "What values does color actually contain?" — then fix what surfaces, one record at a time or in bulk. - Build pipelines in plain language. Describe a transformation; Claude assembles the QFlow node graph, validates it, previews the output, and deploys it to a live HTTP endpoint. - Keep languages and channels straight. Manage per-language field mappings and filtered Export Views without opening the dashboard. You sign in with your own Qmutator account, and every action runs under your existing company and project roles — nothing is possible here that isn't possible for you in the dashboard. Read-only and destructive operations are clearly annotated, so Claude previews before it changes anything and asks before anything irreversible.
Tools: 61
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