Personal free
2 uploads/month
1 comparison/month
Datasheet Comparison Tool
Coming soon: Spec Sheet Comparison Tool for technical datasheets.
Formulas and Formatting, with transparent engineering review.
SpecCore supports engineering teams that compare technical datasheets, normalize specifications across formats, and prepare clean comparison outputs for purchasing, supplier review, and design approval.
The workflow favors deterministic extraction and visible normalization: known labels are mapped to canonical fields, conversion formulas remain available, source values are preserved, and ambiguous rows are held for engineering review.
The intended app flow is upload-first. Optional context can improve classification, but the comparison process begins with the files themselves.
Personal email accounts have the smallest free limits
Company email accounts get more free evaluation room
Private files and no sale of personal data
Pro will be $20/month and cancel anytime
Join the waitlist
Get notified when free access opens.
The list is used for launch access and product updates. SpecCore does not sell personal data. Personal email accounts receive limited free usage, company email accounts receive a larger evaluation tier, and Pro access is planned at $20/month with cancel-anytime billing.
Interactive walkthrough
Review two supplier-style sample datasheets.
The sample files include product overview content, ordering details, technical notes, and structured specification tables. They are available for download so the source material behind the comparison matrix remains visible.
Download HelioFab-HF200-thermal-chuck-parametrics.xlsxHelioFab Systems / HF200 Thermal Chuck / XLSX parametric sheetDownload VectorTherm-VT300-vacuum-chuck-datasheet.pdfVectorTherm Components / VT300 Vacuum Thermal Chuck / PDF datasheet
Sample files are fictional demonstration materials and contain selectable text and tables representative of ordinary supplier documents.
Formulas and Formatting
The comparison stays inspectable.
The matrix shows raw values beside normalized values, with conversion results and review notes preserved for each row.
1
Upload both files
Both sample files include supplier-style copy, notes, ordering data, and structured specs.
2
Extract table and text values
The parser reads selectable text and tables while preserving the original value.
3
Normalize and review
Different units are converted side by side, with typical values and mismatches flagged.
| Spec | HelioFab Original | VectorTherm Original | HelioFab Normalized | VectorTherm Normalized | Review |
|---|---|---|---|---|---|
| Wafer compatibility | 200 mm | 12 in | 200 mm | 304.8 mm | Not equivalent; size mismatch flagged |
| Temperature range | -20 to 180 C | -4 F to 356 F | -20 to 180 C | -20 to 180 C | Equivalent after conversion |
| Vacuum pressure | 0.005 Torr | 5 mTorr typ | 0.005 Torr | 0.005 Torr | Equivalent; typical warning |
| Cooling flow | 2.5 L/min | 0.66 GPM | 2.5 L/min | 2.498 L/min | Equivalent after conversion |
| Power | 850 W | 1.05 kW max | 850 W | 1050 W | VectorTherm higher draw |
Company free
10 uploads/month
3 comparisons/month
Pro
100 uploads/month
25 comparisons/month, cancel anytime
Uploads and comparisons are counted when they are created. Removing a file or workspace later does not restore usage for the month.
What the app is being built to do
Extract, confirm, normalize, and organize engineering data without hiding the math.
The app starts with deterministic rules, preserves human confirmation for ambiguous specifications, and keeps low-confidence mappings visible for review.
Planned comparison flow
Required fields should be minimal: the files.
Required
Upload files
Select two or more datasheets or parametric spreadsheets.
Optional
Add context
Vendor, component category, project name, and notes can improve labeling while keeping the first run file-led.
Automatic
Extract and normalize
The system reads known columns and specs, maps units, and shows formulas.
Engineer review
Confirm edge cases
Only unresolved or ambiguous specs need human confirmation.
Upload mixed datasheet formats
Drop in PDFs, spreadsheet exports, CSV files, and vendor spec sheets. The file upload is the required step.
Add context only if useful
Vendor, category, model, and notes are optional inputs that can improve labeling without blocking the first run.
Get extracted stats quickly
Known spreadsheet columns and parser rules return comparison-ready rows quickly, with slower review reserved for ambiguous fields.
Review and export
Engineers confirm questionable matches after extraction, then export source-linked results for purchasing or supervisor review.