Parse documents into LLM-ready chunks
Turn PDFs, Office, scans, and messy forms into markdown/JSON an agent can retrieve or extract from — not a web crawler.
At a glance — Oct 2026
Updated 2026-10-27 · forward this page: /jtbds/document-parse#briefScores as of 2026-09-14 (43 days old; Depot marks scores stale after 30 days). The pick is still Depot's current editorial pick; it has not been re-reviewed since. Prices below carry their own dates.
- Depot Pick
- LlamaParse · 8.22/10 for this job (curated estimate, high confidence)
Capability on tables/forms + dx + pricePerf of the cheap tier. Distinct from llm-ready-extract (web) and rag-memory (store).
- Runner-up
- Unstructured · 8.12/10
Scores higher than the pick on: Price / performance, Privacy / data retention, Lock-in risk (higher = worse).
- When not to use the pick
- Need connector-heavy ETL / VPC pipelines or OSS self-host partitioner — Unstructured; agentic forms/tables still fail LlamaParse bake-off — Reducto; you only have URLs not files — Firecrawl/Jina Reader.
- Lock-in / migration
- Runner-up Unstructured has lower stored lock-in risk (3.8 vs 4.8, 0–10, higher = more lock-in). Self-host fallback listed for this job: MarkItDown, Florence-2-base, PaddleOCR.
- Sourced price (usd_per_1k_pages)
Pick: no sourced price in this job's unit (no_sourced_price).
Cheapest matching SKU: Reducto r-1 Parse API $10 — source, as of 2026-10-19. Not the pick; not quality-adjusted.
Price history: first seen 2026-10-19 · last changed no change recorded · history JSON
- Free option
- Failure modes to watch
- Collateral side effects: Snapshot the workspace or app state, then diff it against an allowlist. A passing check plus an unexpected diff is a failure.
- Hallucinated tool arguments: Reject a call that fails the current schema or names an unknown id, and do that before the tool runs a side effect.
- Partial tool success: Require a per-item status and a failure count. Success for the task requires the failed count to be zero or explicitly handed to a retry queue.
- Schema drift: Validate every tool call and every loaded table against the current schema. Quarantine mismatches instead of coercing them.
- Silent truncation: Tools must return whether the payload was truncated and how long the original was. Fail the task if the answer depends on the missing span.
- Stale retrieval: Store the source URL and the time it was fetched. If a newer canonical page exists, or two stored sources disagree, do not answer from the older one.
Cite: Agent Provider Depot, Depot Pick for document-parse: llama-parse, scores as of 2026-09-14. Agents: GET /api/decide?jtbd=document-parse
Free Parse documents into LLM-ready chunks options · All sourced prices, cheapest first · for data-etl agents
LlamaParse
Capability on tables/forms + dx + pricePerf of the cheap tier. Distinct from llm-ready-extract (web) and rag-memory (store).
Pricing (directional): As of 2026-09-14 (llamaindex.ai/pricing + developers.llamaindex.ai): 1,000 credits = $1.25 (NA/EU). Free 10k credits/mo; Starter $50/mo (40k credits); Pro 400k credits. v2 parse tiers: Fast 1 / Cost-effective 3 / Agentic 10 / Agentic Plus 4…
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Depot pick for document-parse (PDF/Office → LLM-ready markdown/JSON). Unstructured when you need ETL connectors/VPC pipelines; Reducto when agentic extraction accuracy on nasty forms beats LlamaParse in a bake-off.
Quote for Parse documents into LLM-ready chunks
Depot Pick stays LlamaParse. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=document-parse
Only 1 candidate has a matching USD per 1k pages; nothing was compared, so pickIsPriceWinner is null.
Sourced price unavailable for the Depot Pick. No row in the pricing index.
1 of 4 candidates have no sourced price row. 3 are excluded from the USD per 1k pages comparison (doc_pages). min sourced document-parse price per 1k pages among candidates (per-page rows are used only when no per-1k row exists; never converted); credit-based plans were not ranked; not quality-adjusted
Runners-up
Unstructured
Best when you want connector-heavy document ETL or to self-host the OSS partitioner. LlamaParse remains the…
Reducto
Use when LlamaParse Agentic still drops tables/forms. Depot still picks LlamaParse for default document-parse…
Jina AI
Promoted high after pinning official models API token matrix ($0.05/1M). Best as EU-friendly all-in-one…
When NOT to use the top pick
Need connector-heavy ETL / VPC pipelines or OSS self-host partitioner — Unstructured; agentic forms/tables still fail LlamaParse bake-off — Reducto; you only have URLs not files — Firecrawl/Jina Reader.
Full ranking (score table)
Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.
| # | Provider | Overall | Fit | $/perf | Latency | DX | As of |
|---|---|---|---|---|---|---|---|
| 1 | LlamaParseDepot Pick | 8.2 | 9.0 | 7.8 | 8.4 | 8.8 | 2026-09-14 |
| 2 | Unstructured | 8.1 | 8.4 | 8.2 | 8.2 | 8.0 | 2026-09-14 |
| 3 | Jina AI | 8.1 | 8.2 | 8.6 | 7.8 | 8.8 | 2026-09-14 |
| 4 | Reducto | 8.0 | 9.0 | 7.2 | 8.2 | 8.4 | 2026-09-14 |
Score methodology for this job
Capability on tables/forms + dx + pricePerf of the cheap tier. Distinct from llm-ready-extract (web) and rag-memory (store).
capabilityFit: 25%pricePerformance: 18%latencyReliability: 15%developerDx: 15%privacyPosture: 10%lockInRisk: 7%maturity: 10%