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LlamaParse alternatives

8 tools we tested head to head against LlamaParse, ranked — and what each one actually does differently.

last reviewed 29 jul 2026 · from our best 9 document extraction apis ·list curated by Onur Ozcanxin

first — what you'd be leaving

LlamaParse ranks #3 of 9 in our document extraction apis testing. the cheapest hosted parsing here at basic tier, with the accurate mode priced nowhere..

83/100

unbeatable on the entry rate and a generous free tier — and you cannot find out what the mode you'll actually need costs.

why people look for an alternative
  • −advanced and agentic mode pricing not published
  • −the modes you need for complex documents are the unpriced ones
  • −starter and pro share the same overage cap
  • −no published accuracy benchmark

stay with LlamaParse if cheapest hosted rate at $1.25 per thousand pages is the thing you care about most — nothing below beats it on that.

the short version
best alternativeDoclinganyone processing documents they cannot send to a third party, which in this category is most people.90/100
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  1. 1

    Docling

    #1 in document extraction apis · free forever, permissive on both the code and the models, and nothing ever leaves your infrastructure.

    90/100

    verdictthe only entry where the privacy question is answered by architecture rather than by a policy page — and it publishes real accuracy figures while doing it.

    Docling vs LlamaParse
     LlamaParseDocling
    price$1.25 / 1,000 pagesfree
    free tieryesyes
    cost/1000 pages$1.25 basic$0
    tables cost extravia pricier modesno
    licenceproprietary servicemit code, cdla-permissive models
    trains on your docsnot statedno — self-hosted
    self-hostenterprise vpc onlyyes, only option

    switch foranyone processing documents they cannot send to a third party, which in this category is most people.

    pros
    • +free with no tiers, mit code and permissive model licences
    • +nothing leaves your infrastructure — no retention question
    • +published accuracy figures in a technical report
    • +docling-serve turns it into your own api
    cons
    • −no vendor sla, support or managed scaling
    • −two separate licences to accept, code and models
    • −accuracy and throughput depend on your own hardware
    • −no hosted option if you don't want to run it
    visit Docling →full Docling review →
  2. 2

    Unstructured

    #2 in document extraction apis · zero data retention on every plan including the free one, and a bill that stops at $3,000 however much you send.

    87/100

    verdictthe strongest default data posture of any hosted option here, on pricing with a genuinely unusual ceiling — expensive per page until you're sending a lot, then free.

    Unstructured vs LlamaParse
     LlamaParseUnstructured
    price$1.25 / 1,000 pages$30 / 1,000 pages
    free tieryesyes
    cost/1000 pages$1.25 basic$30
    tables cost extravia pricier modesno
    licenceproprietary serviceapache 2.0 core
    trains on your docsnot statedno — zero retention
    self-hostenterprise vpc onlyyes, open core

    switch forteams handling sensitive documents at volume who want a hosted service without a retention conversation.

    pros
    • +zero data retention stated on all plans, including free
    • +15,000 free pages a month, no card required
    • +spend caps at $3,000/month, then free to a million pages
    • +apache 2.0 core library, self-hostable
    cons
    • −$30 per thousand pages is high at low volume
    • −flat rate gives no visibility into how hard documents are handled
    • −no published accuracy benchmark
    • −business tier pricing is custom
    visit Unstructured →full Unstructured review →
  3. 3

    Mistral OCR

    #4 in document extraction apis · a clean flat rate that quietly doubled in june.

    80/100

    verdictsimple pricing from a frontier lab with a 50% batch discount — priced today at twice what every pre-july comparison says.

    Mistral OCR vs LlamaParse
     LlamaParseMistral OCR
    price$1.25 / 1,000 pages$4 / 1,000 pages
    free tieryesno
    cost/1000 pages$1.25 basic$4, $2 batch
    tables cost extravia pricier modesvia $5 document ai tier
    licenceproprietary serviceproprietary api
    trains on your docsnot statedzdr option, scope unclear
    self-hostenterprise vpc onlyno

    switch forstraightforward bulk conversion where a flat, predictable rate matters more than table fidelity.

    pros
    • +flat per-page rate with no complexity tiering
    • +batch api halves the cost
    • +40+ language coverage
    • +account-level zero data retention option exists
    cons
    • −price doubled from $2 to $4 in june 2026
    • −no published definition of a billable page
    • −no quantified accuracy benchmark
    • −no free tier for ocr
    visit Mistral OCR →full Mistral OCR review →
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  4. 4

    Reducto

    #5 in document extraction apis · the best table extraction here, proven on a benchmark it built and published rather than one it cites.

    78/100

    verdictthe strongest table story in the category and the least predictable bill — the same thousand pages can cost $15 or $60 and you find out afterwards.

    Reducto vs LlamaParse
     LlamaParseReducto
    price$1.25 / 1,000 pages$15 / 1,000 pages
    free tieryesyes
    cost/1000 pages$1.25 basic$15-60 by complexity
    tables cost extravia pricier modespushes to higher credit band
    licenceproprietary serviceproprietary api
    trains on your docsnot statednot confirmed
    self-hostenterprise vpc onlyenterprise, unverified

    switch fordense financial and scientific documents where table structure is the whole job.

    pros
    • +publishes rd-tablebench, an open hand-labelled dataset, with its score
    • +purpose-built for complex tables and scans
    • +15,000 free credits a month
    • +trust centre references on-prem and air-gapped options
    cons
    • −cost per thousand pages swings fourfold by content
    • −true price only knowable after processing
    • −deep extract has a 30-credit minimum per request
    • −training and retention specifics unconfirmed
    visit Reducto →full Reducto review →
  5. 5

    Chunkr

    #6 in document extraction apis · cheapest at volume, dual-licensed for self-hosting — and the free build ships deliberately weaker models.

    72/100

    verdictthe cheapest hosted rate at scale and a genuine open-source path — with the catch that the open version is not the same product.

    Chunkr vs LlamaParse
     LlamaParseChunkr
    price$1.25 / 1,000 pages$5 / 1,000 pages
    free tieryesyes
    cost/1000 pages$1.25 basic$5-10 (unverified)
    tables cost extravia pricier modesno
    licenceproprietary serviceagpl-3.0 or commercial
    trains on your docsnot statednot confirmed
    self-hostenterprise vpc onlyyes, weaker models

    switch forhigh-volume pipelines willing to commit to a monthly plan for the lowest hosted rate here.

    pros
    • +cheapest hosted rate at volume, $5 per thousand pages
    • +dual-licensed agpl or commercial for self-hosting
    • +zero data retention by default, soc 2 and hipaa
    • +identifies 11+ element types per page
    cons
    • −self-hosted build uses deliberately weaker models
    • −pricing page renders through javascript — rates unverified
    • −cheapest rate requires committing to a monthly plan
    • −agpl copyleft unless you buy the commercial licence
    visit Chunkr →full Chunkr review →
  6. 6

    Azure AI Document Intelligence

    #7 in document extraction apis · the best privacy default among the big clouds, behind a pricing table that shows dashes.

    70/100

    verdictgenuinely good defaults on the question that matters — 24-hour deletion and no training — sold from a page that won't show you a number.

    Azure AI Document Intelligence vs LlamaParse
     LlamaParseAzure AI Document Intelligence
    price$1.25 / 1,000 pages~$10 / 1,000 pages
    free tieryesyes
    cost/1000 pages$1.25 basic~$10 (unverified)
    tables cost extravia pricier modesno — included in layout
    licenceproprietary serviceproprietary azure service
    trains on your docsnot statedno — 24h deletion
    self-hostenterprise vpc onlynot confirmed

    switch forregulated teams already on azure who need prebuilt models for invoices, receipts and identity documents.

    pros
    • +24-hour deletion and no training on prebuilt model inputs
    • +custom models train only in your own storage
    • +broad prebuilt catalogue including id and contract models
    • +layout includes tables without a surcharge
    cons
    • −public pricing page shows only '$-' placeholders
    • −rate here is secondhand and unverified
    • −no published accuracy benchmark
    • −free tier is only 500 pages a month
    visit Azure AI Document Intelligence →full Azure AI Document Intelligence review →
  7. 7

    AWS Textract

    #8 in document extraction apis · the cheapest plain ocr here, the most expensive forms extraction, and it trains on your documents unless you stop it.

    66/100

    verdictthe most granular published pricing in the category, and the only vendor here whose default is to use your contracts and invoices to improve its own models.

    AWS Textract vs LlamaParse
     LlamaParseAWS Textract
    price$1.25 / 1,000 pages$1.50 / 1,000 pages
    free tieryesyes
    cost/1000 pages$1.25 basic$1.50 text, $50 forms
    tables cost extravia pricier modesyes — 10x base rate
    licenceproprietary serviceproprietary aws service
    trains on your docsnot statedyes, unless you opt out
    self-hostenterprise vpc onlyno

    switch foraws-native pipelines doing plain text extraction at volume, with the training opt-out configured first.

    pros
    • +cheapest plain ocr at $1.50 per thousand pages
    • +every feature separately and clearly priced
    • +volume discounts above a million pages a month
    • +specialised models for expense, id and lending
    cons
    • −documents used to improve aws models unless you opt out
    • −opt-out is an organizations-level policy, not a setting
    • −forms extraction costs 33x plain ocr
    • −free tier expires after three months
    visit AWS Textract →full AWS Textract review →
  8. 8

    Marker

    #9 in document extraction apis · apache-licensed code, and weights you may not use once your company raises five million dollars.

    62/100

    verdictcheap, well-benchmarked and widely believed to be open source — the model weights carry a revenue and funding gate the code licence doesn't.

    Marker vs LlamaParse
     LlamaParseMarker
    price$1.25 / 1,000 pages$4 / 1,000 pages
    free tieryesyes
    cost/1000 pages$1.25 basic$4, $6 high accuracy
    tables cost extravia pricier modesyes — $0.30 add-ons
    licenceproprietary serviceapache code, gated weights
    trains on your docsnot statednot confirmed
    self-hostenterprise vpc onlyyes, below $5m thresholds

    switch forsmall teams below the funding thresholds, and anyone using the hosted api rather than the weights.

    pros
    • +$4 per thousand pages hosted, $5 free credits
    • +scores reported on an external benchmark, not a self-built one
    • +apache 2.0 code, genuinely free for small non-competing users
    • +marker 2.0 added fast, balanced and high-accuracy modes
    cons
    • −weights licence gated at $5m revenue and $5m lifetime funding
    • −prohibited outright for datalab competitors at any size
    • −self-hosting does not avoid the weights restriction
    • −structured add-ons each cost extra per thousand pages
    visit Marker →full Marker review →

how these were compared

every tool on this page went through the same test as LlamaParse — same tasks, same order, scored the same way. the comparison tables are the figures from that testing, not vendor spec sheets.

the document extraction apis test in full →
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