PDF Parser
AI extraction tool turning PDFs and images into structured JSON or CSV. You define the fields, with no template to maintain, and results arrive in seconds. Every plan includes a REST API, and the free trial needs no card.
What is PDF Parser?
PDF Parser is a web-based document extraction tool that reads PDFs and images and returns what they contain as structured JSON or CSV. Its distinguishing idea is that nothing has to be modelled in advance: rather than building a template or writing rules for each layout, you describe the fields you want, giving each a name, a type (string, number, date or boolean) and a free-text description, and the engine locates them inside the file. The site states that the engine adapts to structured forms and unstructured free-text layouts alike without requiring templates, which suits document flows arriving from many different senders.
Accepted inputs are PDF plus six image formats: JPEG, PNG, WebP, TIFF, BMP and GIF. Files are capped at 20 MB each, and batch uploads are available on every plan. Output is structured JSON by default, with CSV export for spreadsheet work, and processing is announced at under 30 seconds. Extraction is delegated to GPT-4-class vision models through the OpenAI API, with Helicone used for observability.
Two routes sit side by side. The web interface is presented as a three-click flow requiring no technical skill. The separately documented REST API is included in every plan and is aimed at teams wiring extraction into an existing pipeline.
Nine sectors are documented: finance and accounting, legal, healthcare, insurance, real estate, financial services, HR, supply chain and academic research. Typical cases cited are invoices, receipts, bank statements, contracts, insurance claims, medical records and HR documents, and the healthcare page mentions pulling ICD-10 and CPT codes, dosages and lab results. The official documentation shows an invoice becoming JSON with line items, a bank statement becoming a CSV of transactions, and a CV becoming JSON with experience, education and skills. A well-stocked blog of guides and comparisons runs to six index pages, the latest article dated 21 May 2026.
The publisher itself stays unidentified: no company name, no postal address, no legal notice. Articles are signed Agustin M., with personal GitHub and X profiles as the only trace. The pdfparser.co domain was first captured on 9 June 2023, and the /parse application is de-indexed in robots.txt and asks for a sign-in.
What it does
- Upload PDFs or images by drag and drop, several files at a time
- Define the fields to extract, each with a type (string, number, date, boolean) and a description
- Run AI extraction that reads the document in context, with no template or rule to configure
- Retrieve structured JSON, or export a spreadsheet-ready CSV
- Call the REST API to plug extraction into an existing workflow
- Receive webhook notifications when a job finishes (Pro plan and above)
- Validate the output against a JSON schema (Pro plan and above)
When to use PDF Parser / When not to
A quick filter to help you decide if PDF Parser is the right fit.
When to use PDF Parser
- Finance and accounting teams still re-keying invoices, receipts and bank statements by hand
- Back-office teams handling documents from many different senders, where maintaining one template per sender is the real cost
- Small teams and solo projects: the Starter plan is presented as exactly that, at 100 pages a month
- Developers wiring extraction into an existing workflow, since a REST API and JSON output are included in every plan
- Organisations with modest to moderate monthly volumes, between 100 and 2,500 pages depending on the plan
When not to use PDF Parser
- Teams expecting native connectors: no Zapier, Google Sheets or accounting-software integration is published, so everything runs through the API or a file export
- Anyone whose files exceed 20 MB per upload
- High-volume operations: the largest plan stops at 2,500 pages a month, and anything beyond that requires emailing for a custom plan
- Buyers who require a signed DPA, a formal subprocessor list, an audited certification or a contractual commitment on data location: none of these is published, and no hosting country or region is announced
- Buyers who want a money-back safety net or an annual commitment: billing is monthly only, and no refund is offered
How to use PDF Parser
A typical end-to-end flow, from setup to results.
- Create an account and sign in: the /parse application is protected and requires a login
- Drag and drop your PDFs or images into the upload area, several files at a time, each up to 20 MB
- Name the fields you want to extract, using the field suggestions offered if you are unsure where to start
- Set a type for each field, string, number, date or boolean, and add a free-text description to guide the engine
- Launch the extraction: the AI reads the document in context and handles complex layouts, with results announced in under 30 seconds
- Review the structured result, then download it as JSON or export it as CSV for spreadsheet work
- For the developer route, take the API key included in every plan and follow the documented REST endpoints with their copy-paste examples
- On Pro and above, register a webhook so your own system is notified when a batch finishes
Pros & Cons
Pros
- No template and no rule to configure: you describe the fields, which removes the per-sender model maintenance classic parsers demand
- REST API included in every plan, down to the cheapest at USD 9 a month
- Pricing published openly, with a computable cost per page: USD 0.090, 0.058 and 0.040 depending on the plan
- Free trial of 20 pages with no credit card, so the cost of evaluating is nil
- Subprocessors named explicitly in the privacy policy, OpenAI, Helicone, AWS, Firebase and LemonSqueezy, which is unusual at this price point
- Uploaded documents stated not to be kept after processing, repeated in the policy, the FAQ and the sector pages
- Concrete documentation with real input and output examples, nine documented sectors, and image files accepted alongside PDFs
Cons
- The publisher cannot be identified: no company name, no postal address, no country, no legal notice anywhere on the site
- Very thin terms and conditions: no governing law, no jurisdiction, no minimum age
- Privacy policy with no date and no effective date, and no mention at all of the GDPR, an EU representative, a DPO or a DPA
- No hosting country and no hosting region announced for user data
- No refund offered, and unused pages expire at the end of each month, stated explicitly for Starter
- No native application integration published, no interface or processing language declared, and no mobile app
- HIPAA wording reads as marketing: the healthcare page writes 'HIPAA compliant' in one place and 'HIPAA-aligned' in another, with no certification or audit produced, while enterprise buyers are pointed to support@docsloop.com, a different domain, with no explanation of the link between the two brands
Pricing & Plans
PDF Parser is sold by monthly subscription. Evaluation is free: the trial covers 20 pages and asks for no credit card. Beyond it, the lowest price point is the Starter plan at USD 9.00 per month for 100 pages, which works out at USD 0.090 per page. Pro costs USD 29.00 per month for 500 pages (USD 0.058 per page) and Business USD 99.00 per month for 2,500 pages (USD 0.040 per page). All three plans include full API access and may be cancelled at any time; the site states that all plans renew monthly. Two conditions carry a cost: unused pages are lost at the end of the month, and no refund is offered. Above 2,500 pages a month, a custom plan must be requested by email. No annual pricing and no annual discount are published.
- 100 pages per month
- all document types
- API access
- email support
- unused pages expire at the end of each month
- 500 pages per month
- priority processing queue
- raised API rate limits
- priority email and chat support
- JSON schema validation and webhook notifications
- carries the MOST POPULAR label on the site
- 2
- 500 pages per month
- highest processing priority
- unlimited API access
- dedicated support channel
- custom integrations
- service level agreement and invoice billing
- 20 pages
- no credit card required
- custom enterprise plan on request
- by email to support@docsloop.com
Data, GDPR & hosting
A consolidated view of how PDF Parser handles your data.
GDPR overview
The GDPR is not mentioned anywhere on the site. No reference to the regulation, no data protection officer, no EU representative, no legal basis for processing and no description of data subject rights appear on any page, privacy policy and terms included. The policy itself is short and carries neither a date nor an effective date; the terms name no governing law, no jurisdiction, no registered company and no postal address. The only contact address is contact@pdfparser.co, with nothing dedicated to legal or data protection matters, and the policy states that your continued use of our website will be regarded as acceptance of our practices around privacy and personal information. Subprocessors are named openly, which counts as transparency. On the regulation itself the site takes no position, in either direction.
Who owns the data?
The terms claim no rights over uploaded content: there is no assignment or licence clause covering your documents or the data extracted from them, so ownership stays with the customer. The privacy policy states that we do not store any of the documents or files you upload or input into our system, meaning nothing is meant to remain once processing ends. During processing, access is shared with named subprocessors: OpenAI and Helicone for parsing, AWS for storage and application hosting, Firebase for authentication, and LemonSqueezy for payment. The publisher adds that it neither stores nor can access full payment details such as card numbers, expiry dates or CVV codes, which stay with LemonSqueezy.
Reuse rights
Nothing in the terms restricts what you do with the extracted output: no permission is required, no attribution is asked for and no reuse limit is stated, so the JSON or CSV can feed any downstream system. On the publisher's side, the privacy policy narrows third-party API use to a single purpose, stating that our sole purpose in using these APIs is to parse the information contained within each document and deliver the desired functionality. The site states that document processing runs through OpenAI's API, which does not use customer data for model training, and the healthcare sector page adds that patient data never becomes training data. Note where the authority sits: the publisher is relaying a third party's usage policy rather than giving a contractual undertaking of its own. Personal-data collection is described in generic terms, limited to what the service needs and subject to consent.
Data retention & training
Hosting summary
No hosting country and no hosting region are announced for user data. The privacy policy names the infrastructure rather than the geography: AWS for storage and application hosting, Firebase for authentication, OpenAI with Helicone for document processing, and LemonSqueezy for payments. Uploaded documents are stated not to be kept once processing is complete, and the healthcare sector page announces encryption in transit and at rest. One technical detail should not be mistaken for a hosting commitment: the marketing site resolves to 168.119.140.28, a Hetzner address in Falkenstein, Germany. That is where the public pages are served, and it says nothing about where user documents travel or where extracted data comes to rest, which the providers listed above determine. Buyers needing a contractual guarantee on data location will find nothing to rely on, and there is no DPA in which to negotiate one.
Things to keep in mind
Risks and trade-offs to weigh before adopting PDF Parser.
- The publisher is anonymous: no legal entity, no address, no country of establishment. Should anything go wrong, there is no identified counterparty to turn to
- No DPA, no formal subprocessor list and no audited certification: a compliance review will find nothing to attach itself to
- The HIPAA wording on the healthcare page is a commercial claim, written 'HIPAA compliant' in one place and 'HIPAA-aligned' in another, with no certification or audit produced
- No data hosting country is announced. The marketing site resolves to a Hetzner address in Falkenstein, Germany, but that says nothing about where user documents are processed or stored
- Parsing is delegated to a third party, OpenAI: the no-training assurance rests on that provider's usage policy rather than on a commitment from the publisher itself
- No refund is offered and unused pages are lost at the end of each month, so over-buying a larger plan costs money for nothing
- Commercial figures contradict each other between pages: a blog article dated 5 March 2026 announces '100 credits' of trial where the homepage, the FAQ and the documentation all state 20 pages, and the enterprise contact points to a different domain, docsloop.com, with no explanation
Setup & Integrations
Technical difficulty
Very low for interface use. Nothing is installed, the tool being entirely web-based, and only an account is required. The publisher presents onboarding as three clicks with no technical skill needed; defining the fields to extract is the single configuration step, and field suggestions are offered. The API route is barely harder: a key is included in every plan and the documentation ships copy-paste examples. The real effort lies elsewhere. No ready-made connector is published, so any automation has to be built on the API or on file exports.
Deployment
Behind PDF Parser
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement PDF Parser.
Frequently asked questions
Which file formats can PDF Parser read?
What kinds of documents do people actually run through it?
Do I need technical skills to use it?
Is there a file size limit?
What do I get back, and can I shape the output?
How much does it cost?
Are my documents stored?
Is my data used to train AI models?
Can I get a refund?
How do I reach the team?
Should you pick PDF Parser?
PDF Parser delivers cleanly on its technical promise. Describing the fields you want instead of building a template is the right answer for document flows arriving from dozens of different senders; the per-page cost is transparent and computable at every tier; and the REST API is included even in the USD 9 plan rather than reserved for the expensive one. Add a 20-page trial that asks for no credit card, and the cost of finding out whether it works on your own documents is effectively nil.
The contrast lies in governance. No company is identifiable behind the product: no legal name, no address, no country of establishment. The terms are minimal and name no governing law; the privacy policy is undated. The GDPR is mentioned nowhere, no DPA is offered, and no hosting country or region is committed to. The publisher does name its subprocessors openly, which is more than many competitors manage, but naming is not contracting.
That gap decides who the tool suits. For a team parsing invoices, receipts or CVs of limited sensitivity, or for anyone running an evaluation before committing further, it is a strong and inexpensive choice. For the regulated sectors the site itself advertises, healthcare, insurance and legal, the guarantees a compliance review will ask for are simply not published, and the HIPAA wording on the healthcare page is a marketing claim rather than a documented status, phrased as compliant in one place and aligned in another.
Two practical details before subscribing: unused pages expire at the end of each month, and no refund is offered. Start with the free trial, run your hardest documents through it, and let the results rather than the pricing table decide.
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