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Claude & ChatGPT — Supercharged.
All documents · 300+ AI tools · 30s setup
Claude· ChatGPT· Cursor· Gemini· +50
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Pricing

vs DeepL API

PaperOffice AI vs DeepL API

35 languages and 150 protected terms — translation lands directly in the archive.

At a glance

  • 35translation languages
  • 150protected terms
  • 35UI languages
  • 300+API/MCP tools
  • from €6.00je 1 Mio. Zeichen

Made for real business. Not for hype.

In the same account

More than extraction

  • Extract

    AI OCR with bounding boxes — 69 types, fields with location.

    from €9 per 1,000 pages

  • HITL review

    Seamless in the job path — task and document also on mobile.

    Web + Mobile

  • Sign

    SES signatures from the same credit balance.

    SES from the balance

  • WORM archive

    Audit-proof filing and audit trail.

    included

Comparison table

Details for DeepL API from an official source, retrieved 08/2026.

Criterion PaperOffice DeepL API
Pricing logic (character plan vs credits) One credit balance for all features: from €6.00€18.00 per 1M characters by quality tier n/a (translation)
Document translation (layout) Translation + filing in the document stack no — no DMS archive PDF
Language catalog 35 languages in the PaperOffice catalog no
Pipeline combinability Combinable with IDP/OCR/voice n/a — text translation focus
API-first Yes — REST + jobs + MCP no
Result as a document in the DMS (filing, search, workflow) Yes — filing, search, workflow on the object no
one account, one credit balance for the full platform Yes — one access path for all tools no — specialty API
Native MCP server Yes — 300+ API/MCP tools DeepL infrastructure (EU vendor)
EU processing on owned hardware Yes — owned EU GPU hardware Text + documents; min. 50,000 characters/file for certain document types
Price (credits / 1,000 characters) from €6.00 per 1M characters (Elite) — same scale on every tier Developer and Growth packs (as of 08/2026); documents often billed with a 50,000-character minimum per file

Source for DeepL API prices: official DeepL API documentation, retrieved 08/2026.

Pricing model with qualification tiers

Our prices are public — including partner terms.

Unit: Price per 1M characters

TierElite Partner (−70%)Partner (−40%)Enduser
Basic €6.00 €12.00 €20.00
Premium €9.00 €18.00 €30.00
Ultra €18.00 €36.00 €60.00

Billing is internal in credits; amounts follow the selected currency (base: list price).

Elite terms after qualification — criteria and program are public: Pricing · Partner program

When is DeepL API the better choice?

For pure text/string translation at top quality, DeepL is the reference — Developer/Growth and the language catalog are built for that. Document minimum billing (often 50,000 characters) and no DMS filing are the trade-off.

When documents with layout, filing and further processing processing in the platform are required, PaperOffice is the better fit.

Trusted by leading companies worldwide

Key differences

DeepL API

  • DeepL API: strong specialty tool with its own subscription. The result leaves the tool via download or export — you organize filing and further processing yourself.

PaperOffice AI

  • Document platform with API: result in the archive, one credit balance, hosted in the EU, MCP for AI agents.

Three decision axes

1

What happens to the result?

With DeepL API the value often ends at download or in a specialist product. With PaperOffice it becomes a document in the archive — findable and ready for next steps.

2

Contracts & billing

Aktuell: Developer-Paket (1 Mio Zeichen einmalig gesamt, kein Monatskontingent) und Growth (~$26/Monat, 12 Mio Zeichen/Jahr, Overage ~$27.50/Mio Zeichen, Limit 50 Mio Zeichen + 300h Speech-to-Text/Monat); Enterprise via. With PaperOffice one credit balance covers the path from result to filing and sharing.

3

Where do your data run?

With DeepL API, processing typically ends in the vendor cloud or as a download. PaperOffice runs its own servers in the EU — result, archive and audit trail stay in the same account.

Integrated in minutes

  1. Copy llms-full.txt
    https://api.paperoffice.ai/latest/docs/llms-full.txt
  2. Paste into Claude, Cursor or your agent
  3. Say what you want to build — the agent delivers the finished integration.

Or connect directly: MCP server for Claude, Cursor and ChatGPT →

Integrate manually (Python)

Translate text

python
import requests

api_token = "po_sk_xxx"
response = requests.post(
    "https://api.paperoffice.ai/latest/translate/text",
    headers={"Authorization": f"Bearer {api_token}"},
    json={"text": "Bitte Rechnung prüfen.", "source_lang": "de", "target_lang": "en", "quality": "premium"},
)
print(response.json())

Sample response (truncated)

{
  "status": "success",
  "data": { "translated_text": "Please review the invoice." }
}

Full parameters: llms-full.txt / Postman.

FAQ

Is PaperOffice an alternative to DeepL API?

Yes — versus DeepL API when the capability is part of your document processes. As a pure specialty tool without archive needs, DeepL API can remain the better point solution.

How does PaperOffice bill compared with DeepL?

PaperOffice: ab 0,02 € per 1.000 Zeichen — the full price list is public. What DeepL API costs is in the comparison table above, with source and date.

Does a DeepL API-like call land in the DMS?

With PaperOffice yes: filing, search and workflow on the object. With DeepL API the result often stays outside a DMS — that stack difference is the point.

Is there MCP beside DeepL API-like features?

PaperOffice exposes the stack natively via MCP. DeepL API typically ships its own SDKs/APIs without PaperOffice MCP integration.

Where is data processed for PaperOffice vs DeepL API?

On our own servers in the EU — including audit-proof filing and an audit trail. Where DeepL API processes data is documented by the vendor.

More comparisons

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