Before you promise a client a turnaround on a large backlog, test your own throughput, because a bulk run's where **a rate limit turns into a missed deadline**. We've no confirmed figures for the rate limits that also apply, and the docs we reviewed don't say how they vary by plan. ### LlamaParse credit expiry and repeat parsing charges Assume unused credits don't roll over until support confirms it in writing. Allowances are tied to a billing period, and the documentation we reviewed's silent on whether credits carry forward. Running the same file again after changing the mode or fixing a prompt's billed like a new parse unless caching covers it, and the docs don't spell out when caching applies. That's the other leak. Keep parsed output stored on your side so a retry or a client revision doesn't cost the page twice. Before you quote a fixed monthly cost, read the vendor's changelog, which records changes to plans and credit handling over time. A retainer priced on last quarter's credit rates can go underwater without any change on your side. Re-check the pricing page on the day you sign. ## LlamaParse versus competing document parsers Because prices move, the comparison's only as current as its sources. On those sources LlamaParse's the cheapest of the five only for mostly text documents on a basic mode. Past that, **the gap narrows or reverses**. ### Criteria for comparing LlamaParse pricing I judge each option on free allowance, entry price, cost per 1,000 pages of plain text, cost per 1,000 pages of tables or layout, and published limits. Those are the lines a client will accept on an invoice. viz type=stackrank title="What each AWS Textract feature costs per 1,000 pages" unit="$ per 1,000 pages" source="DocuOCR - https://docuocr.com/blog/aws-textract-pricing"5 and well above layout at $4." Forms: 50 Tables: 15 Queries: 15 Layout: 4 Where a vendor publishes nothing, the table says so, and you should treat that cell as a quote you still have to request. ### LlamaParse and competitor pricing comparison table Read the tables column before you quote a client. The plain-text price's a floor, not a typical bill. | Option | Free allowance | Entry price | $/1,000 pages plain text | $/1,000 pages tables or layout | Limits | |---|---|---|---|---|---| | LlamaParse | not published | not published | 1.25 | up to 5 | not published | | Unstructured | not published | not published | 15 | 15 | not published | | Reducto | not published | not published | not published | not published | not published | | Mistral OCR | not published | not published | not published | not published | not published | | Textract | not published | not published | 1.50 | 4 (Layout), 15 (Tables) | not published | $1.25 to $5 per 1,000 pages is where [LlamaIndex's pricing page](https://developers.llamaindex.ai/llamaparse/general/pricing/) puts LlamaParse. That's a fourfold spread, so a mixed batch priced at the low end's a shared account quietly subsidizing your scanned-table client.  At a flat $15, Unstructured charges plain pages the same as complex ones, according to the same page, which means a text-heavy workload pays twelve times LlamaParse's floor. According to [DocuOCR's Textract breakdown](https://docuocr.com/blog/aws-textract-pricing), Textract's spread's wider still, from $1.50 for Detect Text to $50 for Forms, so the cost depends on which features you choose. Layout's $4, Tables and Queries are $15 each, and Forms's $50. Stacking features on one page adds the charges together, so a form with tables can cost far more than either figure alone. ### Is LlamaParse cheapest for text documents? If most pages are plain text and a basic mode handles them, LlamaParse's the cheapest. The prices are $1.25 against Textract's $1.50 and Unstructured's $15, which means it's the most economical option.  Once documents force the $5 mode, Textract's $4 Layout feature undercuts it, provided layout's all you need. Reducto and Mistral OCR can't be ranked on these sources, so get their quotes before you price the retainer. ## Automate the file-to-parser step with Activepieces Do not expect Activepieces to make LlamaParse cheaper. It can keep documents that don't need parsing from spending credits, and a run costs 1 credit on Activepieces however many steps the filter adds, which matters when you can't yet say what Reducto or Mistral OCR would charge for the same pile.  ### Where an automation fits around a parser Think of Activepieces as a workflow automation tool: you chain a trigger to a series of steps, and it runs them each time the trigger fires. It sits around the parser, not inside it. Its core is MIT-licensed, and its 747 integrations are the ones in the `packages/pieces/community` directory of the open-source monorepo on GitHub, counted there rather than quoted from a marketing page, so the count is auditable. Nothing in Activepieces alters the per-page or per-credit rate, which's set by whichever LlamaParse mode your documents force: 1 credit a page on Fast, 4 on layout mode. So price the retainer on the parsing mode first, then treat the automation as the thing that decides how many files reach it. For a client who sends documents by email or drops them in a folder, that matters on the invoice. If handling's manual, someone on your team uploads files and pastes results, and that time lands on your side unless you bill for it. A flow replaces that labor and gives you a consistent run you can count and attribute to a single client. Four steps, in this order: 1. Trigger on a new file or a new email attachment. 2. Filter out anything that isn't a PDF, and anything already processed. 3. Call the LlamaParse API through an HTTP step. 4. Write the parsed result to a Google Sheet. Nothing is charged until the HTTP step, which is where credits are spent. Everything before it's free of parsing charges, which's why the order matters: steps one and two are your only chance to stop a wasted call.  ### Filtering files to avoid wasting LlamaParse credits Put the filter before the HTTP step, never after it. A non-PDF that reaches LlamaParse either fails or gets parsed in a way the client didn't ask for, and you may pay for the attempt either way. Checking the file type up front removes that risk at no cost. Clients resend the same attachment, forward a thread twice, or re-upload a corrected file with the original still in the folder. Each repeat parsed again's a charge nobody agreed to. Those duplicates are the quieter leak. If the flow records each processed file in the Google Sheet, the filter can check that record first and stop a repeat before it costs anything. That also keeps a shared account honest. One client's resend habit shouldn't be absorbed by the credits you're carrying for everyone else. Activepieces is the better fit for teams that need to control how many files reach a document parser, judged on whether the automation layer can be verified and priced predictably. It does not lower LlamaParse's per-page rate, which the parsing mode sets, but its 747 integrations are counted directly from the open-source monorepo rather than taken from a marketing page, and a run costs 1 credit however many filter steps it adds. For a buyer who can't yet say what Reducto or Mistral OCR would charge for the same pile, that auditable catalogue and flat run cost make it the safer thing to build around. ## Testing before selecting your plan Run a 50-document test this week, in the cheapest mode and the mode you actually need. **Price your plan from what the dashboard reports rather than from the allowance on the pricing page.** Seven steps get you there: 1. Pull 50 real documents from your own files, not samples. Include the ugly ones: scanned pages, dense tables, multi-column layouts. If the mix's mostly clean text, the test should be mostly clean text, because a flattering sample gives you a flattering invoice. 2. Parse all 50 in the cheapest mode, then parse the same 50 again in the mode your content needs. The gap between the two runs's the surcharge your documents force on you, and it's the number the sticker price hides, so your actual bill will exceed the quoted rate. 3. Read the credits consumed for each run from the usage dashboard. Don't estimate from page counts, since the mode changes the credit rate per page. 4. Multiply each run's credits by your real monthly volume. Use the busiest month you expect, not the average, because that's the month that decides whether you overrun. 5. Compare the result to the credit ceiling of the plan you're considering. If the needed-mode figure lands above it, you're budgeting for overage or a higher tier, and that belongs in the client quote now. 6. Set usage alerts before the first production run. A shared account will quietly let one heavy client burn credits that the other clients' fees are covering, and an alert's how you catch that before the month closes. 7. Re-check the pricing page on the day you sign. Allowances and per-mode rates are the vendor's to change, and your spreadsheet's only as current as the page you copied it from. Keep the two multiplied figures side by side. The distance between them tells you how exposed you're to your own document mix, and that's the real subject of the comparison with other parsers. Run the same 50 files through each rival and read the same kind of usage report, so every tool's judged on your documents rather than on its own marketing. ## Frequently asked questions Where the body leaves something open, it is answered here. LlamaParse's billing terms change, so confirm each against the vendor's current pricing and documentation pages before you quote a client a figure. Nothing below's a number I could not source, so none are given. ### Is LlamaParse free to use? Yes, up to a point: the free plan comes with a monthly credit allowance, and that allowance's the whole of what "free" means. Once your documents force a costlier parsing mode, the same allowance covers fewer pages, so a free tier that handles a plain-text batch can run out on a scanned or table-heavy one. If you bill a client per document, price from the mode their files need, not from the free allowance. Can I self-host LlamaParse to avoid credit charges? Not as a way around credits, as far as the vendor's documentation shows. The hosted parsing service's what consumes credits, and LlamaIndex's open-source libraries are a separate thing from that metered service. Treat the credit cost as unavoidable if you want LlamaParse's hosted modes, and check with the vendor if a private deployment's a requirement. ### Do unused LlamaParse credits roll over? Plan on unused credits not carrying forward unless the vendor states otherwise for your tier, since the documentation frames the allowance as a recurring plan entitlement. This matters on a shared account: a quiet month for one client doesn't bank credit for a heavy month for another. If one client's batch burns the pool, the others are quietly subsidizing it, so track usage per client. ### Does LlamaParse charge for pages that fail to parse? Whether a failed job is billed depends on where the failure happens, so the vendor's usage reporting's the place to settle it. Run a few deliberately broken files through your own account and compare the usage report before and after. That tells you whether a failure costs you anything, and it gives you evidence if you need to dispute a line item. Is there an enterprise or volume discount for LlamaParse? Yes, through custom enterprise arrangements with LlamaIndex's sales team, so published per-credit rates are a starting point rather than a ceiling. Come to that conversation with your measured mode mix from the 50-file test, since a negotiated rate's only worth something against the volume and modes you actually run. ## Related reading - [AI Launch Week Day 2: Universal Text AI](https://www.activepieces.com/blog/text-ai) - [How to Extract Text From PDF in 3 Quick Steps](https://www.activepieces.com/blog/extract-text-from-pdf) - [ElevenLabs Realtime Speech to Text for Voice Agents](https://www.activepieces.com/blog/elevenlabs-realtime-voice-agents-speech-to-text-guide) ## References - [DocuOCR](https://docuocr.com/blog/aws-textract-pricing) - [LlamaIndex](https://developers.llamaindex.ai/llamaparse/general/pricing/)If you bill a client per document, price the mode the worst page forces, because one account running both kinds of work quietly lets the cheap documents subsidize the expensive ones.