Safer imports start at the boundary.
Review format policies, authorization, isolated parsing, resource limits, inert previews, and cleanup across the complete import lifecycle.
Read the guideGOOD DATA. GREAT POSSIBILITIES.
Spreadsheets, websites, documents, images, and AI-ready data. Find a clearer path from the information you have to the application youβre building.
Explore the decisions, formats, and workflows behind your next import.
Turn external records into application-ready data with explicit mappings and understandable validation.
Move beyond fragile column matching. Plan consistent headers, field types, dates, and error reports.
Extract authorized website content while preserving headings, source links, and editorial context.
Prepare readable document sections with source identity, revision context, and extraction review.
Organize originals, metadata, image variants, and publication review into a coherent asset library.
Prepare evidence-rich content for retrieval with meaningful chunks, provenance, and permissions.
Keep prompt roles, variables, versions, and evaluation cases together as reviewable artifacts.
Follow a simple learning path, from your first record to a more resilient workflow.
Find your guideThree useful steps for a better handoff. No black boxes required.
Know what youβre bringing in, where it came from, and what the destination actually needs.
Preserve important meaning, make field conversions visible, and catch problems before the write.
Plan the destination change, the retry, and the review. Make the result easy for the next person to understand.
Go beyond the happy path. Explore source records, field mappings, validation errors, and the small decisions that make imports easier to maintain.
Start with a fixed local example. See the transformation, inspect the result, and take the sample files with you.
Try the local example β{
"source": "customer-export",
"schema_version": "1.0",
"record": {
"external_id": "001",
"name": "Ada",
"country": "GB"
}
}Illustrative data shape. The quickstart runs locally with synthetic data.
Find an approach for the job in front of you.
Give customers a clear path from their first spreadsheet to useful application records.
Explore workflowPlan mappings, rehearsals, cutover, and recovery before moving the production dataset.
Explore workflowConnect authorized web and document sources to a reviewable editorial destination.
Explore workflowWhat you can explore, what you can try, and where to go next.
More frequently asked questionsImportAPI.com is a collection of practical import guides, workflow patterns, and local developer examples. Explore how data, spreadsheets, content, media, and AI context can move into a well-defined destination.
Yes. The quickstart runs a fixed, synthetic customer dataset through mapping and validation in your browser. It does not upload files or write records to a service. The example source, schema, and result are also available as downloads.
The guides cover structured data, CSV and XLSX spreadsheets, authorized website content, documents, images, LLM knowledge collections, and AI prompt definitions. Each topic includes implementation decisions and a related reading path.
No account or API key is needed to read the guides or run the local example. This site does not provide a hosted import endpoint, account dashboard, or paid API subscription.