# DigiParser vs Docparser: Fields, Tables & Pricing Source: https://www.digiparser.com/compare/docparser [Compare tools / DigiParser vs Docparser](/compare) ![](/img/digiparser-vector-logo.svg) DigiParserVS![Docparser](/images/comparisons/nanonets/docparser.svg) A BETTER NEXT STEP FOR YOUR DOCUMENT DATA # Different documents. One useful output. Make DigiParser your next parser. Extract the fields and line items your team needs, review the result and put it to work in your order or AP process. [Try DigiParser free](https://app.digiparser.com/auth/join) [Discuss your workflow](/schedule-demo) DigiParser vs Docparser - Updated 7 October 2026 **Customer PO**Reference - dates - product lines **Another layout**Different positions. Same data need. ↓ YOUR DIGIPARSER SCHEMA **Data your process can use**`reference - date - lines[]` Inspect Export Hand off Illustrated target workflow. Test on your own documents. [The switching case](#case)[Explore output](#output)[Compare the details](#details)[Pricing in context](#plans)[Plan your pilot](#pilot) CHOOSE DIGIPARSER FOR THE RESULT ## Your team needs usable data. Make that the buying decision. A parser earns its place when the right fields reach the right process. DigiParser keeps extraction, review and structured output at the centre of your trial. 01 ### Specify the result Define the selected fields and repeating tables your team needs. Bring your existing export as a starting point. 02 ### Review the real work Test different layouts, difficult scans and long tables. Inspect corrections before data reaches the destination. 03 ### Keep the handoff useful Choose CSV, structured data or a configured integration. Agree on mappings and record controls before scaling. A CONCRETE STARTING POINT ## What should your parser actually deliver? Choose a document stream, inspect the output shape and download an example. Use it to define your first DigiParser schema. Choose the document streamCustomer purchase orderSupplier invoice JSONCSV THE OUTPUT CONTRACT ### Customer order data Your customer's PO becomes data for your seller-side order process. Header Document type, reference, date Repeating lines Item code, quantity, unit Destination check Customer and item mappings, duplicate order references Define the shape first. Check extraction and mappings against it. ILLUSTRATIVE JSON OUTPUT ``` { "document_type": "customer-po", "reference": "PO-DEMO-1042", "document_date": "2026-10-06", "lines": [ { "item_code": "BR-210", "quantity": 24, "unit": "EA" }, { "item_code": "BR-440", "quantity": 12, "unit": "EA" } ] } ``` [Download JSON example](/research/docparser-comparison/customer-po.json) Synthetic examples, not live extraction results. CSV repeats document headers on each item row; JSON keeps lines in an array. Add the fields your destination needs. DIGIPARSER VS DOCPARSER ## The details behind our recommendation. Docparser has both rule-based and AI-assisted parsing. DigiParser's value case is the complete path from your selected fields to reviewed, usable data. DigiParser vs Docparser: parsing, team and output decisions Decision ![](/img/digiparser-vector-logo.svg)DigiParser OUR RECOMMENDATION ![Docparser](/images/comparisons/nanonets/docparser.svg) Parsing approach ![](/img/digiparser-vector-logo.svg)DigiParser AI + review Define the fields and repeating tables you want. Use AI extraction and review the results. ![Docparser](/images/comparisons/nanonets/docparser.svg) Rules + AI Rules and templates, with AI-assisted options including SmartAI. Different layouts ![](/img/digiparser-vector-logo.svg)DigiParser One output schema Bring your varied customer or supplier layouts into the same output specification. ![Docparser](/images/comparisons/nanonets/docparser.svg) Mode / layout setup Choose the parsing mode and layout setup appropriate to your files. Line items ![](/img/digiparser-vector-logo.svg)DigiParser Fields + tables Check complete rows, quantities and units before exporting. ![Docparser](/images/comparisons/nanonets/docparser.svg) Plan-dependent tables Table extraction is available; confirm Smart Tables and the chosen plan. Team setup ![](/img/digiparser-vector-logo.svg)DigiParser 3 members included 3 members and 5 parsers on Starter. Give the document task an owner. ![Docparser](/images/comparisons/nanonets/docparser.svg) Professional and above Teams and managed users appear in Professional and higher published plans. Data handoff ![](/img/digiparser-vector-logo.svg)DigiParser Export / integration Structured exports or configured integrations. Match destination IDs and required fields. ![Docparser](/images/comparisons/nanonets/docparser.svg) Export / integration Downloads and integration routes include CSV, JSON and API/webhooks. Billing unit ![](/img/digiparser-vector-logo.svg)DigiParser Page allowance Page allowances. A 1-page file and a 5-page file use different page amounts. ![Docparser](/images/comparisons/nanonets/docparser.svg) Document credits Document credits: one document of up to five pages uses one credit. Published capabilities checked 6 October 2026. DigiParser's buying guidance, not an independent benchmark.[Docparser workflow documentation ↗](https://docparser.com/solutions/document-automation/)[Docparser AI options ↗](https://docparser.com/ai/) FROM FILES TO FIELDS AND TABLES ## Give the team a result it can inspect. DigiParser brings extracted fields and tables into a working view. Review the data, then export it or prepare the configured handoff. [Explore manufacturing workflows](/solutions/for-manufacturing) ![DigiParser public product overview showing extracted fields and tables, document folders and the Export Data control](/_next/image?url=%2Fimages%2Fhow-it-works%2Fbulk-extraction.png&w=3840&q=75&dpl=dpl_2o9hiEDiLM4MvULB5VNbE8RVZa9R) Public product overview - extracted fields, tables and export COMPARE A WORKLOAD, NOT A CREDIT LABEL ## 500 one-page documents. A clear starting plan. For this illustrative monthly volume, DigiParser Starter covers the 500 pages. Docparser's published monthly document allowances put 500 documents above Professional and within Business. ![](/img/digiparser-vector-logo.svg)DigiParserSTARTER**$69/month** Monthly billing - 500 page credits * 5 parsers and 3 team members * 500 x 1 page = 500 pages * Start your focused extraction workflow [See DigiParser plans](/pricing) ![Docparser](/images/comparisons/nanonets/docparser.svg)BUSINESS**$159/month** Monthly billing - 1,000 document credits * Published Business document allowance * 500 documents = 500 credits, up to 5 pages each * Unused allowance remains in this example [Check Docparser's current plan ↗](https://docparser.com/pricing/) **Different units change the answer.** At five pages each, these same 500 documents become 2,500 DigiParser pages. Docparser's published rule still counts them as 500 document credits. This example compares listed monthly plans for the stated volume; it excludes extra processing, add-ons and integration costs. It does not establish equal features or your final bill. PUT THE SWITCH INTO PRACTICE ## Bring the output you need. Let DigiParser do the next trial. Keep your current export as a reference. Choose the fields that matter, then measure the work required to get them into your destination. [Download the sample test manifest](/research/docparser-alternatives/migration-test-manifest.csv) 1. 1 ### Define one document stream Customer POs for seller-side order work, or supplier invoices for buyer-side AP. Keep their checks separate. 2. 2 ### Bring a mixed sample set Include common layouts, a new layout, missing values and multi-page line tables. Use permitted, non-sensitive test files. 3. 3 ### Compare complete results Count omitted lines and incorrect values. Record setup and correction time. Check the exported structure. 4. 4 ### Verify the destination Map customer or supplier IDs and item codes. Test duplicates and failed writes before expanding. DECISION NOTES ## Before you make the switch. Have a specific layout or destination? [Talk to DigiParser ↗](/schedule-demo) Why switch from Docparser to DigiParser? Choose DigiParser when you want an AI extraction workflow built around the data your team needs. Define selected fields and repeating tables, inspect the results and hand them to your existing process. Start with the document stream that creates the most re-entry and review work. Is Docparser only a template tool? No. Docparser publishes rule-based and AI-assisted options. Our recommendation is to try DigiParser on the exact output you need, including new layouts and long tables. Compare usable results, correction effort and the full handoff rather than the AI label. Can I reuse my Docparser output fields? Use your current export as the starting specification for a DigiParser schema. Check key names, field types, line-item structure, date and number formats. This is a migration plan, not an automatic import of Docparser rules. Does the example show DigiParser's extraction accuracy? The explorer shows synthetic output contracts so you can plan a trial. It is not a running extraction engine or a head-to-head benchmark. Check actual missing values, omitted rows and correction time on your representative documents. Can the data go into Excel or our ERP? Use an export or a configured integration. For system writes, agree on IDs, mappings, supported records, duplicate handling and failure recovery. Accounting approvals and order release stay in the downstream process. Who should evaluate DigiParser? Include the person who works with the documents and the person responsible for the destination. In a small firm those may be the same person; in a larger manufacturer, review and system ownership may be separate. Confirm who can approve the pilot and the ongoing plan. YOUR NEXT PARSER IS READY TO TRY ## Bring a document. Leave with a clearer decision. Try DigiParser with the fields, tables and layouts your team works with every day. [Try DigiParser free](https://app.digiparser.com/auth/join) [Discuss your workflow](/schedule-demo) [Need a wider shortlist? Explore Docparser alternatives ->](/docparser-alternatives)