lift vs ScreenplayIQ

Side-by-side comparison of features, pricing, and ratings

Analysis generated Live tool data as of 2026-11-08
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lift or ScreenplayIQ: which should you choose?

DimensionliftScreenplayIQ
Core jobParsing any document into markdown/JSON/HTMLCoverage of a screenplay draft
Pricing modelFreemium with per-1k-page processor ratesPaid, page-length based (tiers stack)
Free tierYes, $20/month allowanceNot offered
Signature outputStructured fields with word-level bounding boxesLogline, comps, character arcs, proofread fixes
Best buyerAI labs, finance/insurance, healthcare, developersWriters, producers, agents, execs
IntegrationsNone documented; API-and-SDK-firstNone documented
lift
lift

Datalab's document intelligence API turns PDFs, scans, slides, and spreadsheets into structured markdown, JSON, or HTML at up to 1B+ pages

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ScreenplayIQ
ScreenplayIQ

ScreenplayIQ turns your screenplay into AI script coverage — logline, synopsis, character arc charts and proofreading, priced per script.

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Pricing
Freemium
Paid
Plans
FreeFree
Team$400/mo
EnterpriseCustom
Story$24
Story + Character$48
Full Evaluation$60
Proofread (optional add-on)$24
Custom AnalysisCustom
Popularity
6 views
7.5k views
Skill Level
Intermediate
Intermediate
API Available
Platforms
WebAPI
WebAPI
Categories
📑 Document AI & Data Extraction
📖 Fiction & Screenwriting
FeaturesliftScreenplayIQ
Convert processor: PDFs, spreadsheets, and slides to markdown, HTML, or JSON in fast, balanced, or accurate mode
Chandra 2.6 OCR, live in every Datalab mode, 2.5x faster than Chandra OCR 2.4 at the same price
Surya 2.5 open OCR: 1.7x faster than Surya 2, 85.9 on OmniParseBench
Indra OCR 1.1: CPU model reading handwriting, 80+ languages, and pages at any angle
Lite mode: text, tables, headings, reading order, and layout boxes at $0.50 per 1,000 pages
Extract processor: schema-defined fields to JSON with per-field citations and confidence scores
Segment processor: find boundaries between documents merged into one file
Eval processor: score output quality against Datalab criteria or your own rubrics
Form field detection: field type, box, and label at 87% recall, median 1.1s per page
Word-level bounding boxes tuned for handwritten and scanned pages
Chart understanding, infographic parsing, and structured figure descriptions
Track changes, form fill, spreadsheet tables, and document creation processors
Document agent for multi-step document workflows
Pipeline playground: compose processors, version a pipeline, promote it to production
Managed batch: burst to 1B+ pages a day on Datalab's GPU workers, pay per page
Logline generated from your full screenplay draft
Similar films and TV shows surfaced for market framing
Structured story points broken out of the script
Full synopsis produced without reading the whole draft
Character synopses across the full cast
Visual representations of each character
Character emotional journey charts tracking arcs across the script
Full assessment analysis of the draft
Theme breakdowns
Proofread report covering all issues
Inline highlights on every flagged issue
Recommended fix attached to each flagged issue
Custom analysis package built outside the presets
Pricing by page length, quoted separately for TV and features
Encrypted, siloed storage with WGA-compliant handling, never used to train LLM models

How do lift and ScreenplayIQ compare feature by feature?

ScreenplayIQ is built around a screenplay pipeline: Story package (logline, comparable films/TV shows, structured story points, full synopsis), Story + Character (adds character synopses, visual representations, emotional journey charts), Full Evaluation (full assessment analysis and theme breakdown), and a Proofread add-on with inline highlights plus a recommended fix per flagged issue. Custom analysis packages sit outside the presets. There are no documented integrations with writing software, so it's a standalone coverage step, not an editing partner.

Lift is a composable document platform: Convert (PDFs, spreadsheets, slides to markdown/HTML/JSON), Extract (schema-driven fields), Segment (page- and block-level splits), Eval (rubric scoring), plus specialized processors for tagged accessible PDFs, JATS 1.2 XML, track changes read off PDFs and scans, and form fill. Word-level bounding boxes with confidence are a $3/1k-page add-on, and the chart understanding add-on was rebuilt in Oct 2026 for more accuracy and less invention at the same price. It's API-and-SDK-first, with pipelines you version in a playground and promote to production.

The overlap is effectively zero: one scores narrative structure in creative writing; the other extracts machine-readable data from business and scientific documents.

Which is cheaper, lift or ScreenplayIQ?

ScreenplayIQ is paid with page-length pricing, which the vendor flags as a squeeze for long-feature writers and anyone wanting a flat monthly rate for unpredictable script volume. Its tiers stack — Story, then Story + Character, then Full Evaluation — with Proofread as a separate add-on, and custom packages available. No free tier is listed.

Lift is freemium: a Free tier with a $20/month allowance that the vendor says runs out quickly on real documents. Beyond that, each processor bills flat per 1,000 pages — Segment page-level at $0.50/1k pages, document generation at $6/1k pages, word-level bounding boxes and chart understanding each at a $3/1k-page add-on. The Team plan is $400/mo and lifts the production rate limit above 25 requests/min, which matters if you're pushing volume.

The two cost structures don't compete: ScreenplayIQ charges per script for creative coverage; lift charges per page for machine-readable extraction. A writer would compare ScreenplayIQ against other coverage services, not against an OCR platform, and vice versa.

Who should pick lift, and who should pick ScreenplayIQ?

  • Screenwriter pre-rewrite
    Pick: ScreenplayIQ

    The Full Evaluation plus character emotional journey charts give an objective structural read before committing to a rewrite — exactly what the vendor positions it for.

  • Producer triaging submissions
    Pick: ScreenplayIQ

    The Story package returns a logline, comps, story points, and synopsis so a stack of drafts can be triaged for market potential without booking a reader.

  • Agent prepping a client's script
    Pick: ScreenplayIQ

    The proofread add-on lists every issue with inline highlights and a recommended fix, which is the go/no-go signal before sending a script out.

  • AI lab building a training corpus
    Pick: lift

    Convert turns crawled papers, web captures, and 1000+ page books into structured markdown/JSON with word-level bounding boxes for citation-ready parsing.

  • Financial or clinical data team
    Pick: lift

    Extract pulls schema-driven fields from complex non-standard documents, and regulated teams can run it in-network — capabilities ScreenplayIQ doesn't touch.

Frequently Asked Questions

Could a screenwriter use lift to analyze a script PDF?

Only as text extraction — lift would return the screenplay as structured markdown, not a logline, comps, character arcs, or a proofread report. It has no story-analysis processors, so it cannot do ScreenplayIQ's job.

Does ScreenplayIQ handle the document formats lift specializes in?

No. ScreenplayIQ takes screenplay drafts; lift's Convert, Extract, Segment, Eval, JATS XML, form-fill, and tagged-PDF processors are aimed at PDFs, scans, slides, and scientific papers. The two are not interchangeable.

Can ScreenplayIQ or lift plug into my existing software?

Neither lists documented integrations. Lift is API-and-SDK-first with a playground you can version and promote to production; ScreenplayIQ's documented surface is analysis packages for drafts.

Which is cheaper for a single project?

It depends on the project, and the comparison is meaningless: ScreenplayIQ's page-length pricing scales with script length for one coverage job, while lift bills per 1,000 pages per processor. A feature script isn't a document set; don't price them against each other.

If I only need one, which do I buy?

If you have a screenplay to assess, buy ScreenplayIQ. If you have documents to parse into structured data, buy lift. There is no scenario in which the other tool substitutes for the first.

What else are lift and ScreenplayIQ compared with?

Where can you read more about lift and ScreenplayIQ?

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