Turn messy files into clean, trusted data, automatically.
Ingest AI ingests raw spreadsheets and PDFs and outputs validated, structured data, 99% accuracy, zero manual cleanup, every transformation traceable.
Two Ways to Work With Us
Choose the model that fits how your data and systems operate today.
Upload & Convert
For teams that prefer to keep files local and don’t require system integration.
- Upload spreadsheets, PDFs, or exports manually
- Download validated, standardized output
- All exceptions clearly flagged — nothing invented
- No access to your internal systems required
System-to-System Integration
For organizations that need continuous, automated data processing inside their workflow.
- Direct integration with PIM, ERP, or internal tools
- Automated ingestion and structured output
- Schema enforcement and validation at scale
- Full auditability and long-term reliability
What customers say
Trusted by data-driven teams
Ingest AI cut our annotation data preparation time by 80%. Files that used to require manual reformatting before we could even start are now processed and ready automatically.
Emrah Solhan, Co-Founder
Deep Annotations
We source from 160+ suppliers, every file came in differently. Ingest AI normalized everything automatically. No manual cleanup, no data errors making it into the system.
Clifford Ondara, Managing Director
Vanilla Steel
We stopped spending hours manually cleaning data. Ingest AI handles the normalization automatically, the output goes straight into our system.
Fabian Lindner, Co-Founder
Cleverep
Not another AI tool.
A data guarantee.
Most tools "help" with data. We deliver production-ready, validated output with zero hallucination, zero data loss, every time.
They can chat about your data, maybe write a script. But they guess, hallucinate, and leave you to verify everything manually.
- ✕ Hallucinate values that look plausible but aren't real
- ✕ Silently drop rows when context windows overflow
- ✕ No validation pipeline , you're the QA team
- ✕ Different output every time you run the same file
We don't chat about your data, we transform it. Deterministic, validated, complete. Every row accounted for, every value verified.
- ✓ Zero hallucination: every output traces to source
- ✓ Zero data loss: row-level completeness checks
- ✓ Built-in validation before delivery
- ✓ Consistent, reproducible results at any scale
Powerful: if you have a cloud engineering team, months to deploy, and budget for custom model training. Built for tech companies, not ops teams.
- ✕ Require cloud infrastructure setup & maintenance
- ✕ Weeks of model training per document type
- ✕ Need developers to build integration pipelines
- ✕ Per-page pricing adds up fast at scale
Upload your messy file. Get clean, structured data back. No infrastructure. No training. No engineering team required.
- ✓ Works in minutes, not months
- ✓ Self-service or enterprise API: your choice
- ✓ Handles PDFs, spreadsheets, and mixed formats
- ✓ Predictable pricing, no surprise bills
Great at deduplication and formatting: if your data fits their rigid templates. Falls apart the moment files get messy, inconsistent, or unstructured.
- ✕ Can't handle unstructured or semi-structured data
- ✕ Brittle rules break on format variations
- ✕ Manual configuration for every new source
- ✕ No intelligence: just pattern matching
Understands messy, real-world data: variant formats, inconsistent headers, mixed structures. Adapts to the chaos, delivers the order.
- ✓ Intelligent parsing across any file format
- ✓ Learns structure from context, not rigid rules
- ✓ One tool for PDFs, Excel, CSVs, and more
- ✓ AI-powered with human-grade accuracy
Handy for formula help and basic cleanup. But they live inside your spreadsheet, limited to one file at a time, no cross-format understanding.
- ✕ Confined to a single spreadsheet context
- ✕ Can't ingest PDFs or non-tabular sources
- ✕ No batch processing or pipeline capabilities
- ✕ Fixes symptoms, not the data pipeline
From raw, messy source files to clean, validated, integration-ready data. Not a feature inside another tool, a dedicated pipeline that replaces the manual chaos.
- ✓ Batch process hundreds of files at once
- ✓ Cross-format: PDFs + spreadsheets in one run
- ✓ API-ready output for direct system integration
- ✓ Replaces manual work, not just assists it
Send us your messiest file.
We'll send back clean data.
No signup required. See real results on your actual data.
How it works
Three steps to reliable, validated data.
Import files
Spreadsheets, PDFs, CSVs — in whatever format partners send.
Common issues
- Column drift & inconsistent headers
- Mixed units and currencies
- Missing fields & messy rows
Standardize + validate
Map to your schema, normalize values, and run checks.
Pipeline
- Schema-aware mapping
- Unit/currency normalization
- Value cleanup (dates/IDs)
- Business rule validation
If data isn’t in the file, Ingest AI doesn’t invent — it flags it.
Deliver output
System-ready dataset + exceptions + change summary.
Deliverables
- Clean schema + consistent naming
- Validated critical fields
- Explicit exception list
- Traceable transformation summary
🛡️ Data integrity (no hallucinations)
AI is used to interpret structure — never to invent values. Every output value is either traceable to the input or explicitly flagged.
Your documents stay yours.
Always.
We understand that enterprise documents contain sensitive information. Here is exactly how we treat your data — before, during, and after processing.
Processing stays in the EU.
FAQ
Is our data safe with you? What happens to our documents?
Documents are processed under a strict protocol and permanently deleted immediately after output is delivered. Nothing is stored after the job is done. No files are retained, no data is used for model training, and no information is shared with third parties.
All processing runs on EU infrastructure. We sign an NDA before any documents are exchanged. A Data Processing Agreement (DPA) aligned with GDPR requirements is included before engagement begins — we adapt it to your legal team's specifications.
EU infrastructure · Permanent deletion · NDA + DPA includedAre you GDPR compliant?
Yes. Ingest AI is a German-registered company (Berlin) operating entirely on EU infrastructure. Data handling is designed to be GDPR-aligned by default, not as an afterthought.
Concretely: data is processed only for the purpose you send it, deleted post-delivery, never leaves the EU, and never touches a model that trains on client data. A full Data Processing Agreement is included before you send us a single file.
German entity · GDPR-aligned DPA included · No cross-border data transferHow does this integrate with our ERP or existing systems?
The output is delivered as clean, structured data — JSON, CSV, Excel, or whatever format your system expects. You don't need to change anything on your end to receive it.
If you need a direct API integration (e.g., pushing structured output into SAP, your OMS, or a custom ERP), that's part of the scoped project. The pipeline is built to connect to your system, not the other way around. We've handled integrations across different ERP environments and document schemas — and we scope the integration honestly before you commit to anything.
JSON · CSV · Excel · API integration availableHow long does it take to go live?
For a free sample conversion — send us a batch of your documents, get structured output back — that happens within a few days, no commitment required.
For a full production pipeline with API integration into your system, the timeline depends on document complexity and the integration scope. Most projects go live within 4 to 12 weeks. We scope this explicitly at the start and don't move to production until you've validated the output on your own data.
Free sample in days · Full pipeline: 4–12 weeksWe have an internal data team. Can't we just build this ourselves?
You can — but it takes longer than expected and costs more than it looks. The part that usually gets underestimated is not the extraction itself, but the validation layer: what do you do when a supplier sends a format you've never seen? What catches data that gets silently dropped at the intake stage?
Ingest AI's core is exactly that auditing layer — built specifically to handle document chaos at scale, across inconsistent formats, suppliers, and languages. Your data team's time is likely better spent on analysis and decisions, not maintaining parsing rules for every new supplier format that arrives.
We're also happy to work alongside your internal team rather than replace them.
Built-in validation · No silent data loss · Audit trail on every extractionHow do I know the output is actually accurate? What about AI hallucinations?
This is the question we take most seriously. The pipeline is built on rule-heavy, constrained extraction — not open-ended prompting. Every extraction passes through defined validation rules before output is delivered. If something doesn't meet the validation threshold, it's flagged, not silently passed through.
Zero hallucination is an architectural property, not a marketing claim. The pipeline doesn't invent data — it extracts what's there, validates it against rules, and returns it. What it can't extract with confidence, it tells you.
You can also verify this yourself: send us a batch of your real documents and check the output against the source. Most clients do this before signing anything.
Constrained extraction · Validation rules · Zero hallucination by designWhat document types and formats do you support?
Any unstructured document that contains data you need in structured form. In practice this includes: PDFs, invoices, supplier catalogs, spreadsheets, freight documents, financial reports, KYC files, lease documents, policy documents, and mixed-format batches where every document looks different.
If your document type isn't listed here, the right move is to send us a sample. We'll tell you honestly within a day whether the pipeline can handle it and at what accuracy level — before any commitment.
PDF · Excel · Mixed formats · Multi-language · Multi-schemaWhat does it cost?
Pricing is scoped per project based on document volume, complexity, and whether API integration is included. There's no fixed public price because a 50-document batch and a 10,000-document recurring pipeline are fundamentally different jobs.
What we can say: pricing is grounded in the cost of your current manual process. The benchmark question is always what you're spending now on human hours and error corrections — and whether Ingest AI replaces that cost at a fraction of the price.
The fastest way to get a real number is to send us a sample of your documents. We run a free conversion, you validate the output, and we quote based on actual scope — not assumptions.
Volume-based · Scoped per project · Free sample firstWe can't share our actual documents — they're confidential.
That's a common situation and it doesn't block us from moving forward. We sign an NDA before anything is exchanged — you can have it reviewed and signed before a single file is sent. The DPA that comes with every engagement also covers this explicitly.
If your legal or compliance team needs to review our data handling protocol first, we provide that documentation upfront. Some clients also prefer to start with anonymised or synthetic files to validate the pipeline logic before committing real data — we're comfortable with that too.
NDA before first file · DPA included · Synthetic data testing availableHow do we know it'll work on our specific documents before we commit?
You don't have to take our word for it. The standard path is: you send us a real batch of your documents, we run them through the pipeline, and you get the structured output back — before any commercial commitment. You can compare the output against your source files line by line.
We target 95% accuracy on the proof of concept pass. The remaining edge cases are addressed during the full project build, where we investigate every exception and add the validation layers it requires. Final delivery targets 99% accuracy, with zero hallucination and any exceptions explicitly flagged rather than silently passed through. The proof of concept gives you enough signal to decide — without committing first.
Free sample run · No commitment required · Full accuracy report includedSee it in action
Select a document type and see it structured.
MFGManufacturing— PDF supplier catalog▾
| ART.NR | BEZEICHNUNG | GEW.g | EP(EUR) | LT |
| M-0042 | Sechskantschr.ISO4017 A2 | 3.2 | 0.08EUR | 3-5Wt |
| M-0043 | Sechskantschr ISO4017 A4 | – | 0.14 € | 3-5Wt |
| M-0044 | MutterSechskantDIN934 A2 | 1.8 | € 0,04 | 1-2Wt |
| M-0045 | Unterlegsch.DIN125 Stahl verz. | 0.7 | 0,02€ | lgrd. |
| M-0047 | Gewindestift DIN913 45H | – | 0.06EUR | 8-10W |
Structure this document
| article_no | description | weight_g | unit_price_eur | lead_time | flag |
|---|---|---|---|---|---|
| M-0042 | Hexagon Screw ISO4017 | 3.2 | 0.08 | 3-5 days | |
| M-0043 | Hexagon Screw ISO4017 | null | 0.14 | 3-5 days | |
| M-0044 | Hexagon Nut DIN934 | 1.8 | 0.04 | 1-2 days | description inferred from merged text |
| M-0045 | Washer DIN125 | 0.7 | 0.02 | in stock |
LOGLogistics— Freight email▾
From: [email protected] Subject: Shipments batch 03/2026 AWB LH-990183 | Müller & Co. FRA→CDG 14.5 KG | Maschinenteile | DAP | ETA 15.03.2026 AWB LH-990184 (Schmidt Elektronik HAM to CDG) 2.3 kg, Platinen, EXW, arr. 16/03/26 LH-990186 BioMed BER→PAR 0.8KG Medikamente DDP eta:15/03/26 LH-990188 GlobalChem DUS→MRS 310KG Chemikalien ADR!! CIF 20.03.2026
Structure this document
| awb | sender | weight_kg | goods | eta_date | flag |
|---|---|---|---|---|---|
| LH-990183 | Müller & Co. | 14.5 | Machine parts | 2026-03-15 | |
| LH-990184 | Schmidt Elektronik | 2.3 | Circuit boards | 2026-03-16 | arrival vs. ETA unclear |
| LH-990186 | BioMed GmbH | 0.8 | Pharmaceuticals | 2026-03-15 | |
| LH-990188 | GlobalChem KG | 310.0 | Chemicals (ADR) | 2026-03-20 | ADR hazmat — compliance required |
WHOWholesale— Excel / CSV▾
| Art.-Nr. | Bezeichnung | Menge | ME | EP EUR | MwSt. |
|---|---|---|---|---|---|
| KAF-001 | Gastro-Kaffeemaschine XL | 5 | Stk. | 289.00 | 19% |
| KAF-002 | Kaffeemühle M-80 | 3 | Stück | 189 | 19% |
| REI-004 | Reinigungstabs 100er | — | Packung | 12.90 | 7% |
| KAN-010 | Kaffeebecher 300ml | 48 | Stück | 2.80 | 19% |
Structure this document
| article_no | description | qty | unit | unit_price_eur | vat_rate | flag |
|---|---|---|---|---|---|---|
| KAF-001 | Commercial Coffee Machine XL | 5 | piece | 289.00 | 0.19 | |
| KAF-002 | Commercial Coffee Grinder M-80 | 3 | piece | 189.00 | 0.19 | currency not specified in source |
| REI-004 | Cleaning Tablets 100-pack | null | pack | 12.90 | 0.07 |
FINBanking— PDF invoice + Excel batch▾
| Rech-Nr. | Datum | Debitor | Betrag | Status |
|---|---|---|---|---|
| RE-20260002 | 03.01.26 | Alpha Logistik AG | 3200.50 | bezahlt |
| RE-20260003 | 05/01/26 | Beta Solutions KG | 7800.00 | überfällig |
| RE-20260004 | 08.01.2026 | Gamma GmbH | 1950.00 | offen |
Structure this document
| invoice_no | invoice_date | debtor | amount_eur | status | flag |
|---|---|---|---|---|---|
| RE-20260001 | 2026-01-01 | Sigma Trade GmbH | 12450.00 | open | |
| RE-20260002 | 2026-01-03 | Alpha Logistik AG | 3200.50 | paid | |
| RE-20260003 | 2026-01-05 | Beta Solutions KG | 7800.00 | overdue | date format ambiguous — DD/MM assumed |
| RE-20260004 | 2026-01-08 | Gamma GmbH | 1950.00 | open |
INSInsurance— Excel / CSV▾
| Policy-ID | Inhaber | Art | Prämie | Beginn |
|---|---|---|---|---|
| PKV-26-001 | Dr. Schneider J. | KV | 4200.00 | 01.01.2026 |
| PKV-26-002 | Müller Sabine | KV | 1980.00 | 01/01/26 |
| HV-26-001 | Ritter GmbH Co KG | HV | 38500.00 | 15.01.26 |
| HV-26-002 | Bauer AG | HV | — | 01.03.2026 |
Structure this document
| policy_id | policy_holder | policy_type | annual_premium_eur | start_date | flag |
|---|---|---|---|---|---|
| PKV-26-001 | Dr. J. Schneider | Private Health | 4200.00 | 2026-01-01 | |
| PKV-26-002 | Sabine Müller | Private Health | 1980.00 | 2026-01-01 | |
| HV-26-001 | Ritter GmbH & Co. | Property Insurance | 38500.00 | 2026-01-15 | legal entity name inferred |
| HV-26-002 | Bauer AG | Liability Insurance | null | 2026-03-01 |