Podcastle

Automatically detects and removes background noise, hum, and ambient sounds from raw audio recordings while enhancing voice clarity and presence. Uses machine learning to distinguish speech from noise without manual parameter tuning.

Detects and removes filler words (um, uh, like, you know) and long silences from podcast recordings with one-click automation. Uses speech recognition to identify these elements and trim them without manual editing.

Publishes finished podcast episodes directly to major podcast platforms including Spotify, Apple Podcasts, and other distribution networks. Handles metadata, cover art, and episode information automatically.

Organizes podcast projects, recordings, and edits in a centralized workspace. Allows saving multiple versions, organizing episodes by series, and managing project assets in one place.

Provides free access to core Podcastle features with monthly usage limits (up to 10 hours/month). Allows creators to test the platform and produce casual content without upfront cost.

Automatically identifies and separates different speakers in a multi-speaker recording, creating individual tracks for each speaker. Enables per-speaker editing and level balancing without manual track splitting.

Enables simultaneous recording of multiple audio sources (local microphone, remote participants, music, sound effects) on separate tracks with real-time level control and mixing capabilities.

Allows multiple participants to record together remotely with each person's audio captured on a separate track in real-time. Participants can hear each other during recording without audio sync issues.

Applies a complete suite of AI-powered edits in a single action: noise removal, filler word removal, silence trimming, and speaker balancing. Produces a broadcast-ready episode with minimal manual intervention.

Exports finished podcast episodes in multiple audio formats and quality settings for different distribution platforms. Supports common podcast formats and allows bitrate selection for file size optimization.

Applies AI-powered voice processing to improve vocal tone, presence, and clarity. Automatically adjusts EQ and dynamics to make voices sound more professional and broadcast-ready.

Automatically generates text transcripts from podcast audio using speech-to-text technology. Creates searchable, accessible transcripts for distribution and SEO purposes.

Automatically adjusts volume levels across different speakers and segments to ensure consistent loudness throughout the episode. Prevents jarring volume jumps between speakers or sections.