Wildlife audio platform

Upload, analyse, explore, and share.

Wild Database brings together projects, audio files, AI analysis, and insights in one place. It is built for practical survey workflows — from raw recordings through to usable ecological outputs.

Centralised auth · analysis workflows · cached results · project-based organisation
Typical workflow
1
Upload

Add recordings and metadata to a project.

2
Analyse

Run BirdNET-style pipelines and reuse cached runs.

3
Review

Inspect detections, timing, species, and summaries.

4
Share

Create public-facing outputs without exposing everything.

P

Projects

Organise work by site, survey, customer, or campaign.

A

Audio

Store recordings, metadata, status, and processing history.

AI

Analysis

Run BirdNET-style pipelines with reusable cached results.

I

Insights

Turn detections into timelines, summaries, and shareable views.

How Wild Database works

A straightforward workflow for taking wildlife recordings from upload through to analysis and reporting.

1

Upload recordings

Add files with timestamps, locations, and project context so they are ready for analysis.

Open uploader
2

Run analysis

Trigger AI processing, keep parameters consistent, and reuse matching cached runs where possible.

Run analysis
3

Explore insights

Review detections, compare files, inspect active periods, and surface the most useful patterns.

View insights
4

Share results

Publish selected outputs and summaries without exposing all raw data or internal project detail.

User Center

Built for more than sign-in

Wild Database is the structure behind projects, audio, analysis outputs, insights, and future public sharing.

AU

Accounts and permissions

Keep access organised by user, role, and project, with room for quotas, credits, and cleaner auth flows.

login roles projects permissions
DB

Audio and analysis data

Store source files, metadata, cached outputs, summary data, and the processing history needed for the UI.

audio_files analysis summary_json params_hash
SH

Insights and sharing

Support richer graphs, project summaries, and controlled public outputs for clients, partners, or volunteers.

timelines leaderboards reports public views

Products and API surface

The UI and API are meant to reflect the same core workflow, so the platform can grow without rethinking the basics.

AI

Bird Audio Analysis

Upload audio or process existing files to return detections, timing, and confidence data for downstream views.

Example endpoint
POST /perch/detections
IO

Files, Projects, and Devices

Manage recordings, project structure, and field hardware through one consistent platform layer.

Example endpoint
GET /user/devices
WB

Webhooks and Integrations

Push detections and events into your own stack, or build additional services on top of Wild Database.

Example endpoint
POST /user/webhooks/test
Tip: try the interactive API Docs once you’ve signed in.

Start building your workflow

Create an account, upload a recording, and begin turning wildlife audio into something useful.