VEED

What VEED is

VEED is a platform for producing, editing and distributing video with conventional and AI tools. It combines recording, editing, captions, translation and generated material within projects and shared assets.

It is useful when a piece needs several transformations: a recorded explanation may become a captioned video, a translated version and a short extract. These deliverables are not interchangeable. The extract needs its own context, translation must preserve meaning, and the finished file must play outside the editor. Planning these outputs at the start keeps production manageable when a sentence, contact or screen capture later changes. Each version should remain connected to its approved source.

Reference documentation: About VEED · Dashboard.

History and development

Sabba Keynejad and Tim Mamedov founded VEED on March 20, 2018, initially focusing on easier browser editing. In 2022 it received $35 million from Sequoia after initially developing through bootstrapping.

The evolution presented as VEED 3.0 brought together assisted editing, transcript-based work, dubbing and clip creation. This expands the editor’s role: alongside arranging user-supplied files, it can propose and generate material. A campaign name does not define each function’s current state. Specific, current help guides are more precise than a general announcement when assessing a particular limitation or deciding how a team will use the product.

Reference documentation: About VEED · Sequoia partnership · VEED 3.0.

Recording explanations and screens

Recorder captures screen, camera and audio in the browser, with layouts and a teleprompter. A recording can start a project or join an existing one.

For an application walkthrough, prepare a demonstration account and capture only the required window. Rehearse cursor and camera placement: a face overlay may cover the button being explained. Divide a long explanation into units that can be replaced without rerecording everything. A useful script can specify each block’s objective and required terminology rather than a word-for-word speech. Check a sound sample before recording the full sequence and allow time to observe each screen change.

Reference documentation: Recorder.

Transcript-based editing

Edit by Script connects automatic transcription to footage: deleting words cuts the corresponding segment and restoring them recovers it. It requires autogenerated captions and space-separated words. Current guidance does not support reordering by dragging text.

This suits finding and shortening a spoken contribution; rearranging the explanation requires the timeline. Distinguish recognition correction from deciding what the person says in the finished edit. Removing an initial condition may make the remaining sentence sound absolute. Review each cut with the preceding and following sentences, especially when extracting interview quotations. Keep the original available to resolve questions about context and the speaker’s intended meaning.

Reference documentation: Edit by Script.

Timed text and translation

SRT stores wording and timing without audio or typographic design. VEED imports timed tracks and supports caption correction and translation. Text already burned into imagery does not automatically become an editable translation track.

Separate language content from presentation. For Catalan, Spanish and English, retain an approved script and one track per language. A longer translation may need different line breaks despite conveying the same meaning. Check each caption’s start and end against the action. When the edit changes duration, review every affected language track instead of reusing old timings without verification. This is particularly important when a cut removes a pause.

Reference documentation: How SRT files work · How to translate your subtitles.

Dubbing and lip synchronisation

AI Dubbing translates audio and generates speech, with optional lip synchronisation. Guidance describes the latter as Beta and downsampling output to 1080p. Proofreading and script upload are Enterprise functions; a voice clone is generated for each video.

A dubbed version requires separate review of speech, captions and visible wording. A label in the footage may remain in the original language even when narration changes. For technical information, compare the target script before judging naturalness: fluent speech may mispronounce a code. Where preserving the original contribution matters, provide that version too and identify the translation as an adaptation.

Reference documentation: AI Dubbing.

Sound cleanup

Clean Audio processes the selected clip to reduce noise and normalise volume. Documentation distinguishes this from removing silences: one changes sound, while the other changes duration.

With multiple interviews, processing one take does not establish consistent levels across them all. Compare transitions between speakers and listen for losses at word beginnings or endings. Background sound can help explain the setting, so decide what should remain. Perceptually improving a recording does not measure occupational noise exposure or establish a workplace’s acoustic conditions. Keep an original copy for comparison, particularly when the sound itself forms part of the explanation.

Reference documentation: Clean Audio.

Generation and model choice

AI Playground provides third-party models for generation from text or images. Credit cost depends on the operation and appears before generation; free availability varies by region.

Select a model for the scene and correction options rather than a promotional example alone. An animated cover may need simple motion, whereas a hand demonstration requires coherence throughout the sequence. Assess the complete clip and decide whether to use, edit or discard it. Completed generation means a file exists, not that objects and movement are technically accurate. Allow room to review alternatives before committing to a delivery schedule or building an entire sequence around an unverified output.

Reference documentation: AI Playground.

Fabric, avatars and identity

Fabric 1.0 turns an image and audio into a talking video. Lipsync 2.0 starts from existing footage and another audio track to adapt mouth movement. Animating a photograph and changing a recorded contribution solve different problems.

An illustrated character can introduce a campaign without representing a real worker. Using a person’s identity requires permission and context that does not present generated statements as authentic testimony. The code restricts impersonation and certain stock-avatar portrayals, including depicting an avatar as having a medical condition. For health education, use general narration rather than presenting a stock avatar as a supposed patient.

Reference documentation: Fabric and Lipsync · Code of Conduct.

Teamwork and branding

Brand Kits collects reusable assets, including grouped elements such as introductions and lower thirds. Creator limits its kit to fonts and colours; Pro, Studio and Enterprise expand asset types and kits. The workspace manages collaborators, projects and permissions.

Separate stable branding from frequently changing information. A logo may last months, while a campaign contact number may need checking before each publication. Define who updates the master asset and who reviews existing videos. A shared library avoids searching for files, but does not establish that an old export adopts a later change. Maintain a list of pieces affected by each significant update.

Reference documentation: Brand Kits · Dashboard.

Export, platforms and plans

Export guidance documents MP4 at 720p on Free, 1080p on Creator and up to 4K on Pro, Studio and Enterprise. VEED has web and Android/iOS applications. VEED LITE is a separate iOS app with its own subscription, distinct from the full editor.

Export freezes a project state. A correction requires a new deliverable and replacement of relevant distributed copies. Check source resolution: selecting 4K does not recover absent detail. For training, an MP4 can be incorporated into a learning environment, but does not itself constitute progress tracking, assessment or a SCORM package. Those functions belong to the surrounding delivery system.

Reference documentation: Project export · VEED and VEED LITE.

Privacy and sensitive material

The privacy policy provides for development and training using Free-user content, excluding uploads through mobile applications from that provision. The API states that inputs and outputs are not used for training without agreement. These conditions should not be merged into one rule for every service.

The code prohibits medical histories and other sensitive health information, identifiers and credentials. For OSH material, use fictional examples and test screens; a clinical record is unsuitable for demonstrating editing. Establish access, retention and permissions before uploading internal interviews or imagery. Hiding information in the final version does not undo supplying it during production.

Reference documentation: Privacy policy · Code of Conduct · API FAQ.

API and integration

The API uses separate accounts and billing from the editor. Jobs are asynchronous, so the application must check their outcome. Output URLs expire after 24 hours by default, configurable up to 30 days.

This supports integrating generation or audiovisual processing into another product, but requires state and storage management. In repeated production, record which input produced each output, download before expiry and distinguish failures from pending work. Store a reviewed copy in the intended distribution repository. A temporary generation link is neither a durable corporate archive nor sufficient editorial approval. Decide who may retry a failed job and within which usage limit.

Reference documentation: API FAQ · API media retention · API accounts.

Practical applications in OSH

In occupational safety and health, it can support accessible audiovisual materials adapted for different audiences. The proposed application is adding reading support and organising the editing of reviewed safety messages, checking that each version retains the intended meaning and necessary instructions. Accessibility needs depend on the audience and should be considered throughout production.

Besides the consultation-channel example, proposed uses include subtitling lessons-learned interviews and adapting an induction explanation for different languages. Editorial work should start with a corrected source transcript: translating recognition errors spreads the problem. Agree a glossary for equipment, departments and roles whose names should remain consistent across pieces.

Worked example and result checks

Example: caption an explanation of how to use a safety consultation channel and prepare several language versions. The team checks the transcript, verifies technical terms and ensures captions do not cover relevant parts of a demonstration or screen.

To develop the example, identify the language actually spoken and transcribe the explanation. Compare the text with the audio before translation, resolving internal names and expressions understood only by people familiar with the workplace. Prepare a track for each language and ask a competent reviewer to check meaning, rather than merely deciding whether the wording sounds natural.

Export a sample and test the files in the intended player. Check the start, duration and sequence of each contribution: an accurate subtitle shown over the wrong scene can mislead. Confirm that the contact and the description of accepted queries match across audio, visible labels and captions. Keep every track associated with the same video version, and record who approved each translation so later amendments reach the right reviewer.

Limitations and conditions of use

Automatic transcription and translation may change numbers, negations or equipment names. Review the whole video with and without sound, check timing and provide a text alternative when needed. The presence of captions alone is not a guarantee of comprehensive accessibility.

Official help states that captions already embedded in the original video cannot be translated directly through this workflow: the text must be generated or imported into the editor. It also distinguishes TXT files from supported timed subtitle imports. Translation and downloads may depend on the plan and credits. A changed edit requires checking timings again even when the wording stays the same.

Reference documentation: How SRT files work · How to translate your subtitles.

When to choose it and how to complement it

VEED is relevant when subtitles and language versions are the main priorities within a visual workflow. Descript provides a comparison centred more on the transcribed script. DeepL can support a text draft, but synchronisation and video review remain separate tasks.

Assess how to correct a translation, identify its language and re-export after changes. Include the final player in the trial: file compatibility matters as much as appearance inside the editor. Confirm that viewers can actually select the intended language.

Frequently asked questions

Does an SRT file preserve fonts and colours?

No. It contains text and timing markers; appearance depends on the player. If design matters, check how it will display in the intended channel.

Does subtitle translation translate the whole video?

No. Speech and wording embedded in the image may remain in the original language. Review all three components separately before considering a version complete.

What should be checked when subtitles disappear?

Inspect formatting, timings and blocks around the first failure. Documentation identifies zero-duration intervals and incorrect separators among possible causes. Retest the complete file after making corrections.

Reference documentation: How SRT files work.