Batch species identification from photos: plants, insects, fungi

By
Ondřej Veselý
January 1, 2025
3 min read
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plant batch screen

Collecting photos is sometimes easy; turning tens of thousands of images into defensible species records is the hard part.

Our new web consoles—PlantBatch, InsectBatch and MushroomBatch—let you drag-and-drop folders of up to 1 000 images per batch and receive an exportable list of species in minutes. No coding, no local servers—just pure bulk species identification software powered by the same engines that already drive mission-critical apps worldwide.

Who we built this for

  • Biodiversity professionals and taxonomists
  • Ecological-monitoring specialists (e.g., camera-trap or drone campaigns)
  • Biosecurity officers guarding ports, borders and greenhouses
  • Crop- and pest-scouting teams in precision agriculture
  • Citizen-science programme coordinators
  • Museum & herbarium digitisation crews

These groups need accuracy, auditability and volume rather than consumer features. The batch suite keeps the interface lean so you can stay focused on science.

Three portals, same workflow

  1. Register to get an API key:
  1. Choose your console
    • PlantBatch: 35 000+ vascular-plant classes, multilingual names, care & edibility data.
    • InsectBatch: 14 000+ arthropod classes, danger & conservation flags.
    • MushroomBatch: 4 500+ fungi, lichens & slime molds with toxicity indicators.
  2. Drag, drop, run
    • Upload JPG/PNG/GIF images—up to 1 000 per run.
    • Our cloud does the heavy lifting; nothing is stored after processing.
  3. Download your results
    • Upload photos get CSV species list”: export CSV, XLSX or JSON instantly.
    • Keep working in R, Python or QGIS via the same REST species recognition API / taxonomy API endpoints.
  4. Pay as you grow
    • Buy credits on the dashboard with credit card (Visa, Mastercard) and top up any time.
    • Volume discounts unlock automatically, see pricing.  In general it is €0.01-€0.05 per identification

How can the results look like?

Every prediction comes with common names, synonyms and full taxonomy in over 30 languages, allowing teams on different continents to share the same dataset without translation overhead. In addition, Kindwise licenses a curated library of representative images

Proven accuracy you can cite in your papers (or grant proposals)

Independent studies keep showing that our core models outperform popular apps such as PlantNet, iNaturalist or Google Lens:

  • Hamlyn G. Jones (2020), AoB Plants – Plant.id delivered the highest accuracy on British flora (DOI 10.1093/aobpla/plaa052)
  • Velasquez-Camacho et al. (2024), Int. J. Appl. Earth Obs. – best macro-precision for urban street trees
  • Merontausta et al. (2025), Ecological Informatics – rapid detection of invasive plants in roadside imagery

Kindwise continuously folds these peer-review insights back into the models, ensuring that your results stay publication-grade.

Typical professional scenarios

  • Generate overnight biodiversity metrics from week-long camera-trap deployments.
  • Flag quarantine pests in greenhouse inspection photos before the next workday.
  • Pre-classify citizen-science uploads so experts spend time only on the outliers.
  • Auto-tag digitised herbarium sheets and pinned-insect drawers for searchable archives.
  • Run before–after comparisons in ecological-impact assessments.

All three portals function as a batch plant/insect/fungi ID service—select the taxa that matter, feed them images, harvest clean data.

Get started today

Create a free account, load a test folder and experience how bulk species identification software can cut days off your workflow. Because when your job is protecting ecosystems or documenting biodiversity, every hour counts.

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