Tommy
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Products by Tommy
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Clean Voice
Background-removal-tools
Many content creators face a frustrating trade-off: either re-record their podcasts, voiceovers, and videos in controlled settings, or spend weeks learning complex editing software to remove unwanted background noise. Clean Voice eliminates that choice by automating the cleanup process entirely. The product targets creators at all skill levels who record outside studios, from podcasters dealing with ambient noise to voiceover artists recording at home, plus professionals conducting remote interviews over video calls. It handles both audio files and video with soundtracks, supporting common formats like MP3, WAV, MP4, and MOV. What distinguishes Clean Voice is its refusal to overcomplicate the experience. The workflow is genuinely minimal: users drag files in, the AI processes them, and they download the results. The company emphasizes that this requires no editing knowledge, no technical jargon, and no days spent learning unfamiliar interfaces. A preview feature lets potential users hear before and after samples without uploading their own files or providing payment information, lowering the friction to try it. Beyond background noise reduction, the product also removes filler words like um and uh, maintaining the naturalness of speech while cleaning the recording. The system targets specific noise problems: traffic, wind, HVAC hum, microphone distortion, and room tone. This targeted approach matters because blunt noise removal often strips dialogue of vital qualities that make speech sound human. The pricing model reflects confidence in the product's reliability. Rather than charging per upload, Clean Voice charges per successfully processed minute using a credit system. Audio costs one credit per minute, while video costs three credits per minute, with a one-credit minimum for very short clips. This structure means failed processing attempts do not consume credits, reducing user frustration if something goes wrong. The positioning is clear: Clean Voice wants to eliminate the skill gap between amateur recording setups and professional studio quality. For creators who have a microphone and internet connection but lack either a sound-treated room or the patience to master editing software, the service offers a practical shortcut to broadcast-ready audio and video.
IGTranscript
Transcription
Converting video content into accessible text remains a persistent gap in content workflows, particularly for social platforms where audio-driven content dominates. IGTranscript addresses this by enabling users to extract searchable, timestamped transcripts from public Instagram Reels and video posts, transforming spoken content into reusable text without requiring login credentials or relying on existing captions. The tool fills a genuine need for creators, researchers, and content professionals who frequently need to reference, quote, or verify specific moments in video. Rather than scrubbing through footage to locate a particular statement, users paste a public Instagram link and receive a transcript indexed by time codes. This approach works regardless of whether the original content includes captions, since the transcription originates from the video's audio track. Several capabilities distinguish the product. The export options—supporting TXT, SRT, and VTT formats—make transcripts immediately compatible with subtitle workflows and editing software, extending their utility beyond simple note-taking. Timestamped segments anchor each line of dialogue to its position in the video, allowing users to verify quotes against the source before republishing. A search function within the transcript itself accelerates the process of locating specific names, phrases, or claims. Automatic language detection removes friction for content in languages beyond English, though users can override this to ensure accuracy. The implementation respects privacy by processing media temporarily rather than creating permanent public archives, and the platform explicitly restricts itself to public links, rejecting private accounts before processing begins. This design choice sidesteps account compromise and misuse vectors while keeping operations straightforward. The tool acknowledges its own limitations: transcript accuracy varies with source audio quality, background music, speaker accents, and overlapping dialogue. This transparency prevents overconfidence in edge cases where transcription might struggle. IGTranscript succeeds as a focused utility rather than an ambitious platform. It solves one problem thoroughly—making video audio searchable and citable—for users who regularly work with Instagram's video format. The lack of login requirements and the emphasis on data portability through standard subtitle formats position it as genuinely user-centered, not designed to create lock-in.