Should each document be sent as a separate API request for extraction?

Direct answer

Per-document API requests are usually easier to track, retry, and audit, while batch requests may help throughput. Lido helps teams choose the request pattern based on monitoring, review, and export needs.

For “Should each document be sent as a separate API request for extraction?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.

What the workflow should include

The workflow should assign document IDs, track request status, isolate failures, preserve review history, and connect each approved result to the downstream record.

For “Should each document be sent as a separate API request for extraction?”, pay special attention to missing fields, changing layouts, low-confidence values, duplicate records, and unclear downstream handoffs; those edge cases usually determine whether the output is usable downstream.

Before scaling “Should each document be sent as a separate API request for extraction?”, test a small set of real files and compare the extracted rows against the originals so the team can tune fields, review rules, and exports before higher-volume automation begins.

How Lido helps

For teams deciding whether each document should be sent as a separate API request for extraction, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for finance, operations, and back-office teams.

That lets teams answer “Should each document be sent as a separate API request for extraction?” with a reusable process that can be tested, corrected, and connected to spreadsheets, CSV files, ERPs, CRMs, or other workflow systems.

Example workflow

1. Assign a unique document ID before extraction.
2. Decide whether one-document requests or batches are easier to monitor and retry.
3. Capture extraction status, errors, and review outcomes for each document.
4. Export approved results with the document ID needed by downstream systems.