ASHDOCS as an alternative to Docparser.
ASHDOCS vs Docparser — schema-driven extraction without per-layout parsing rules.
Docparser extracts data using parsing rules you configure per document layout, from $39/month with credit-based metering. ASHDOCS extracts by meaning from a JSON schema — no rules to build or maintain — includes generation tools Docparser lacks, and charges flat credits with failed jobs free.
How does ASHDOCS compare to Docparser feature by feature?
| Feature | ASHDOCS | Docparser |
|---|---|---|
| Setup per document type | One JSON schema | Parsing rules per layout, tuned by hand |
| Layout changes | Handled — semantic extraction | Rules break; re-tuning required |
| Entry price | $15/mo (1,500 credits); $49 unlimited extraction | From $39/mo, credit-metered |
| Multi-page statements | 3 flat credits | Credits scale with pages |
| Tables → CSV/XLSX | Yes, with per-cell confidence | Yes, rule-based |
| PDF generation / conversion | Yes — 30 tools | No |
| OCR | Included (5 languages) | Included |
| No-code delivery | Flows + Make/Zapier/n8n + webhooks | Zapier/native integrations |
What are the key limitations of Docparser?
- →Every new supplier layout means building and testing another Docparser rule set; schemas transfer across layouts automatically.
- →Docparser credits scale with page count, making long statements expensive; ASHDOCS extraction tools are flat-priced.
- →Docparser can't generate documents, so quote-to-invoice pipelines still need a second product.
What does the code look like side by side?
# Docparser (after building parsing rules in the UI) curl -X POST https://api.docparser.com/v1/document/upload/YOUR_PARSER \ -u YOUR_API_KEY: \ -F "file=@invoice.pdf"
# ASHDOCS — one URL scheme for all 30 tools
curl -X POST https://www.ashdocs.com/api/v1/tools/html-to-pdf \
-H "X-API-Key: ash_test_xxx" \
-H "Content-Type: application/json" \
-d '{ "html": "<h1>Hi</h1>", "options": { "format": "A4" } }'How do I migrate from Docparser to ASHDOCS?
- List the fields across your Docparser rule sets and merge them into one JSON schema per document class.
- Replay a sample batch through /tools/pdf-to-data in the sandbox and compare against Docparser's output.
- Recreate delivery: Docparser → Google Sheets/webhook mappings become ASHDOCS flows or signed webhooks.
- Retire rule maintenance from your runbook — schema edits are one-line changes.
Frequently asked questions
How is schema-driven extraction different from parsing rules?+
Rules point at positions on a page and break when layouts move. A schema names the fields and their types; the extractor finds them by meaning, so one schema covers many supplier layouts.
Is accuracy comparable?+
On fixed layouts a well-tuned rule is exact; ASHDOCS returns per-field confidence so you can auto-accept high-confidence fields and review the rest. On variable layouts, semantic extraction wins because rules simply break.
Can I trial without committing?+
Yes — the free tier includes 10 extraction credits monthly plus unlimited sandbox calls, enough to validate your document set before switching.
Competitor pricing verified 1 August 2026 from the vendor's public pricing page. Pricing changes frequently — check Docparser's pricing page for current rates before deciding.