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Configuring Parse

Every option for a Parse job in one place — request anatomy, input controls, output formats, and processing features.

Parse has a lot of knobs. This page is the map: it shows how a parse request is structured and documents every option you can set.

For the full field-by-field reference, see the Parse API Reference. For controlling what comes back from a parse job, see Retrieving Results.

Every Parse request is a JSON object. Only three fields are required — everything else is optional:

{
// --- Required ---
"file_id": "<file_id>", // or "source_url" — exactly one is required
"tier": "agentic", // fast | cost_effective | agentic | agentic_plus
"version": "latest", // dated version string or "latest"
// --- Optional ---
"input_options": { /* file-type-specific hints */ },
"processing_options": { /* how Parse processes the document */ },
"agentic_options": { /* configures the agentic models */ },
"output_options": { /* shape of what Parse returns */ },
"crop_box": { /* page-level crop */ },
"page_ranges": { /* parse specific pages only */ },
"disable_cache": false,
"processing_control": { /* timeouts and fail modes */ },
"webhook_configurations": [ /* push results to a URL */ ],
"user_metadata": { /* key/value tags you attach to this job */ }
}

The simplest valid request is just these three fields — everything below them can be added when you need it.

Note: expand is not part of the parse request body. It’s a query parameter on the GET result endpoint that controls which fields come back. The SDKs handle this for you — when you pass expand=["markdown"] to client.parsing.parse(), the SDK submits the job, polls until complete, then retrieves the result with the right expand values. If you’re using the REST API directly, see Retrieving Results.

I want to…Set this
Parse only specific pagespage_ranges.target_pages (top-level)
Strip headers/footers from every pagecrop_box (top-level)
Force a fresh parse (no cache)disable_cache: true (top-level)
Set a max job timeoutprocessing_control.timeouts.base_in_seconds (top-level)
Push results to a webhookwebhook_configurations (top-level)
Tag a job with your own metadatauser_metadata (top-level)
Set OCR languageprocessing_options.ocr_parameters.languages
Skip watermark textprocessing_options.ignore.ignore_diagonal_text
Enable chart parsingprocessing_options.specialized_chart_parsing
Auto-route pages by complexityprocessing_options.cost_optimizer.enable
Score parsing quality per pageprocessing_options.confidence_score_effort
Steer with a custom promptagentic_options.custom_prompt
Get HTML tables instead of markdownoutput_options.markdown.tables.output_tables_as_markdown: false
Export tables as XLSXoutput_options.tables_as_spreadsheet.enable
Get per-page screenshotsoutput_options.images_to_save: ["screenshot"]
Preserve spatial layoutoutput_options.spatial_text
Get word / line / cell bounding boxesoutput_options.granular_bboxes
Extract Word tracked changes and commentsoutput_options.markdown.annotate_revisions
Attribute printed legal line numbersoutput_options.markdown.annotate_line_numbers
Control what comes backexpand query param on the GET result endpoint — see Retrieving Results

Control how Parse reads your document — page ranges, crop boxes, file-type-specific controls, and cache behavior.

Parse only the pages you need. Every page you skip is a page you don’t pay for.

API key: page_ranges — top-level.

  • max_pages (integer) — cap total pages parsed, starting from page 1
  • target_pages (string) — comma-separated 1-based pages and ranges, e.g. "1,3,5-10"
{ "page_ranges": { "max_pages": 5 } }
{ "page_ranges": { "target_pages": "1,3,7-12" } }

Strip repeating headers, footers, and margin chrome from every page. Four numbers (0.0–1.0), each the fraction to strip from that edge.

API key: crop_box — top-level.

{ "crop_box": { "top": 0.1, "bottom": 0.15 } }

This is a geometric crop, not a content filter. If the chrome moves between pages, use content-based ignore rules instead.

Parse caches identical requests by default. Any change to parse options busts the cache automatically.

API key: disable_cache — top-level boolean.

{ "disable_cache": true }

Only disable for benchmarking, debugging, or verifying version pins.

API key: input_options.html.

Parse walks the DOM, extracts visible content, and produces clean markdown. These controls strip noise that doesn’t belong in the output:

  • make_all_elements_visible — force hidden CSS content visible. Useful when parts of the document are behind display: none, visibility: hidden, or JavaScript-driven UI states.
  • remove_navigation_elements — strip menus, breadcrumbs, sidebar nav, and non-content chrome. Most useful when parsing a real web page rather than a hand-built HTML document.
  • remove_fixed_elements — strip sticky headers, floating sidebars, and other fixed-position UI.
{
"input_options": {
"html": {
"make_all_elements_visible": true,
"remove_navigation_elements": true,
"remove_fixed_elements": true
}
}
}

API key: input_options.spreadsheet.

Parse handles spreadsheets where layouts aren’t clean rectangular tables — multiple logical tables stacked in one sheet, formulas with stale cached values, etc.

  • detect_sub_tables_in_sheets — find and extract sub-tables within a single sheet. If your spreadsheet has three small tables stacked vertically with empty rows between them, Parse detects each as its own table instead of merging them.
  • force_formula_computation_in_sheets — re-compute formula cells instead of using cached values. Enable when the file was edited but never recalculated, or you’re parsing a template with placeholder values. Can slow parsing on formula-heavy sheets.
{
"input_options": {
"spreadsheet": {
"detect_sub_tables_in_sheets": true,
"force_formula_computation_in_sheets": true
}
}
}

API key: input_options.presentation.

Speaker notes are extracted by default — request expand=["metadata"] to retrieve them on per-slide metadata.

  • out_of_bounds_content — extract content positioned beyond the visible slide boundaries. Presenters sometimes park notes, draft text, or reference images outside the visible area.
  • skip_embedded_data — skip extraction of embedded chart data. Set to true if you only need slide text and the chart-data extraction is slowing you down.
{
"input_options": {
"presentation": {
"out_of_bounds_content": true,
"skip_embedded_data": false
}
}
}

API key: input_options.image.

Photos of documents — a receipt photographed on a desk, a form snapped with a phone — arrive tilted, surrounded by background, and unevenly lit. Parse can clean these up before parsing:

  • camera_photo_correction — detect the document’s boundary in the photo, crop it, perspective-correct it, and flatten uneven lighting and shadows so the page parses like a flat scan. Applies to JPEG, PNG, WebP, and HEIC/HEIF inputs (the iPhone camera default). Detection is conservative: images that already look like clean scans or screenshots are left untouched, so it is safe to enable on mixed image batches.
{
"input_options": {
"image": {
"camera_photo_correction": true
}
}
}

API key: input_options.pdf — see the API reference for available PDF-specific options.


Shape what Parse returns. Parse can emit several formats from the same job.

I want…Use
Clean text for an LLMMarkdown (default)
Whitespace-preserving layoutSpatial text
Tables as downloadable XLSXTables as spreadsheet
Embedded images, screenshots, layout cropsImage assets
Printed page numbers for citationsPrinted page numbers
Tracked changes and comments as structured dataRevision tracking
Printed legal line numbers as markdown offsetsPrinted line-number attribution
PDF copy of any parsed documentExported PDF
Word / line / cell bounding boxes for highlighting and groundingGranular bounding boxes
Results pushed to my serverWebhooks

API key: output_options.markdown.

SymptomKnob
Downstream needs HTML tablesoutput_tables_as_markdown: false
Table spans multiple pagesmerge_continued_tables: true
Images transcribed instead of referencedinline_images: true
Want link destinations in markdownannotate_links: true
Document has tracked changes or commentsannotate_revisions: true
Legal document has printed gutter line numbersannotate_line_numbers: true
Whitespace in table cellscompact_markdown_tables: true
Multi-line cell content`markdown_table_multiline_separator: "
{
"output_options": {
"markdown": {
"annotate_links": true,
"inline_images": true,
"tables": { "merge_continued_tables": true, "output_tables_as_markdown": false }
}
}
}

Extract Word-style tracked changes and reviewer comments as structured data alongside the parsed content — what changed, who changed it, and where it sits on the page and in the markdown.

API key: output_options.markdown.annotate_revisions. Retrieve via expand=["items"].

{ "output_options": { "markdown": { "annotate_revisions": true } } }

Works on Word documents that contain tracked changes or comments, and on PDFs exported or printed from Word with the markup visible — including scanned copies. Revision balloons produced by non-English versions of Word are recognized too.

When enabled, each page in the items result can carry a revisions array. Every revision has a type (inserted, deleted, formatted, moved_from, moved_to, or comment), the target text it applies to, the revision or comment content, the author when available, bounding boxes for both the target text and the printed revision balloon, and character offsets linking the target to that page’s final markdown. See revisions on items pages for the full response shape.

In the Parse playground, extracted revisions appear in the Revisions tab after a run.

Tier limits: revisions ride on the items result, which is not available on fast.

Detect printed line numbers in a legal document’s left gutter, remove detected labels, and return their locations in the final page markdown.

API key: output_options.markdown.annotate_line_numbers. Retrieve via expand=["markdown"].

{ "output_options": { "markdown": { "annotate_line_numbers": true } } }

When enabled, each markdown page can carry a line_numbers array. Each entry contains the printed line_number and a half-open [start_index, end_index) range identifying the corresponding line in that page’s final markdown. Pages without confidently mapped source lines omit the array. See line numbers on markdown pages for the response shape.

Only numbers printed in a physical left gutter are treated as source coordinates. Ordered lists, table columns, section numbers, and table-of-contents labels remain content.

Tier limits: printed line-number attribution is not available on fast.

Preserves visual positioning using whitespace. Use for forms, CAD drawings, multi-column layouts, receipts.

API key: output_options.spatial_text. Retrieve via expand=["text"].

Flags: preserve_layout_alignment_across_pages, preserve_very_small_text, do_not_unroll_columns.

Generates an XLSX file — one sheet per table.

API key: output_options.tables_as_spreadsheet. Retrieve via expand=["xlsx_content_metadata"].

{ "output_options": { "tables_as_spreadsheet": { "enable": true } } }

API key: output_options.images_to_save — enum array: "screenshot", "embedded", "layout". Retrieve via expand=["images_content_metadata"].

{ "output_options": { "images_to_save": ["screenshot", "embedded"] } }

API key: output_options.extract_printed_page_number (singular). Retrieve via expand=["metadata"].

Always generated — no input config. Retrieve via expand=["output_pdf_content_metadata"].

Get per-word, per-line, and per-table-cell bounding boxes alongside the item-level layout boxes Parse already returns. Use this when you need to highlight individual words or lines on the source document (e.g., a PDF viewer that highlights the exact span a citation points to), or to ground extracted answers down to the glyph.

API key: output_options.granular_bboxes — array of one or more of "word", "line", "cell". Empty list (default) disables granular boxes; only item-level layout boxes are returned.

{ "output_options": { "granular_bboxes": ["word", "line", "cell"] } }

When granular_bboxes is non-empty, Parse writes a grounded-items JSONL sidecar (one row per page) and includes a presigned download URL for it on the result. You don’t need to add anything to expand — see grounded items in Retrieving Results for the response shape and the JSONL schema.

For a complete walk-through — request, sidecar fetch, and walking the per-word/line/cell grounding — see the Granular bounding boxes example.

Tier limits: not available on fast (no item-level layout, so granular grounding has nothing to attach to).

Push results instead of polling. For large PDFs, batch pipelines, or when the result goes to a different service.

API key: webhook_configurations — top-level array.

{
"webhook_configurations": [{
"webhook_url": "https://example.com/webhook",
"webhook_events": ["parse.success"],
"webhook_headers": { "Authorization": "Bearer your-token" }
}]
}

Security: use HTTPS, put auth tokens in webhook_headers (not query params), verify the caller in your handler, never let untrusted users control webhook_url.

API key: user_metadata — top-level dict[str, str]. Attach arbitrary key/value tags to a job; returned verbatim on the job response. Not searchable. Max 8 pairs, 24-char keys, 64-char values, 512 bytes total.

{ "user_metadata": { "owner": "jerry", "team": "research" } }

Control how Parse processes your document — flagship features, tuning knobs, and production controls.

Pay premium prices only on pages that need it. Routes each page to the right tier automatically: simple pages → cost_effective, complex pages → your selected tier. Both groups run in parallel.

API key: processing_options.cost_optimizer. Available on agentic and agentic_plus only.

{ "processing_options": { "cost_optimizer": { "enable": true } } }

When to use: mixed-complexity documents where most pages are prose. When to skip: every page is table-heavy, you’re already on cost_effective/fast, or you need exact reproducibility.

Request expand=["metadata"] to see which pages were cost-optimized (cost_optimized: true/false per page).

Extract chart/graph data as structured tables — bar heights, line values, pie percentages.

API key: processing_options.specialized_chart_parsing — enum: "efficient", "agentic", "agentic_plus". Default-on for Agentic Plus. Not available on fast.

{ "processing_options": { "specialized_chart_parsing": "agentic_plus" } }

Retrieve chart data via expand=["items"]. See the chart parsing tutorial.

Know how much to trust each parsed page. With confidence_score_effort: "high", LlamaParse produces a more accurate assessment of parsing quality: each page’s confidence (0→1) in the result metadata reflects the high-effort assessment, and the document gets an aggregate confidence with a breakdown (worst page score, per-label counts) in the metadata document object.

API key: processing_options.confidence_score_effort — enum: "high". Omit the option for standard scoring (the default). High effort costs an additional 5 credits per page.

{ "processing_options": { "confidence_score_effort": "high" } }

Request expand=["metadata"] to read the per-page and document-level scores.

Steer the parser with natural-language instructions — focus on specific content, preserve formats, give document context.

API key: agentic_options.custom_prompt (not processing_options). Available on cost_effective, agentic, agentic_plus. Not on fast.

{ "agentic_options": { "custom_prompt": "This is a financial report. Preserve all currency symbols." } }

Tips: be specific, name the document type, say what to skip, specify output format, keep it short (2–3 sentences). For guaranteed structured extraction with a schema, use LlamaExtract instead.

API key: processing_options.ignore.

FlagSkips
ignore_diagonal_textWatermarks (CONFIDENTIAL, DRAFT)
ignore_text_in_imageLow-quality OCR text in embedded images
ignore_hidden_textWhite-on-white or CSS-hidden text

API key: processing_options.ocr_parameters.languages. Only affects text from images — native text in born-digital PDFs is read directly.

{ "processing_options": { "ocr_parameters": { "languages": ["en", "fr", "de"] } } }
FlagWhat it does
aggressive_table_extractionTry harder to find tables (may add false positives)
disable_heuristicsTurn off outlined-table extraction and adaptive long-table handling

API key: processing_control — top-level (not under processing_options).

Timeouts: base_in_seconds + (extra_time_per_page_in_seconds × page count).

Failure conditions: allowed_page_failure_ratio, fail_on_image_extraction_error, fail_on_image_ocr_error, fail_on_markdown_reconstruction_error, fail_on_buggy_font.

{
"processing_control": {
"timeouts": { "base_in_seconds": 300, "extra_time_per_page_in_seconds": 30 },
"job_failure_conditions": { "allowed_page_failure_ratio": 0.05 }
}
}

Note for AI agents: this documentation is built for programmatic access. - Overview of all docs: https://developers.llamaindex.ai/llms.txt - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/ - Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/