Typecast

@typecast recommend voices for a calm, professional female narrator in her 30s for a product demo video

Based on your description, here are three recommended voices ranked by match quality: (1) 'Clara' — professional female, age 30-40, supports calm and neutral emotions across Standard and Premium models. (2) 'Maya' — corporate female narrator, age 35, optimized for explainer content with warm and confident tones. (3) 'Sophie' — versatile female voice, age 32, includes professional and conversational styles. Each voice supports MP3 and WAV output at up to 48kHz. You can preview samples and check emotion availability with the Get Voice tool before generating audio.

This example shows Typecast's natural-language voice search, which saves time vs. manually filtering a large voice library. The recommendation quality depends on how well your description maps to Typecast's internal voice tags (gender, age, use case). Always preview a voice before committing to batch generation — subjective fit varies by listener.

@typecast generate speech from this script using voice ID 'Clara' with a calm emotion: 'Welcome to the dashboard. Let's walk through your key metrics for this quarter.'

Audio generation complete. Output file: typecast_clara_calm_20250115.mp3 (duration: 8.2 seconds, 192 kbps MP3). The file uses the 'Clara' voice with calm emotion applied via Typecast's Premium model. Download link valid for 24 hours. This generation consumed 1 credit from your plan (you have 487 credits remaining this billing cycle). To add pauses or chain multiple segments with different emotions, use the Compose Speech tool instead.

This demonstrates a straightforward text-to-speech generation with emotion control. Typecast charges per generation (credit cost scales with audio length and model tier). The 24-hour download window means you should save the file promptly. If you need precise timing for video sync, request the 'with timestamps' variant to get word-level alignment data.

@typecast compose a 15-second audio sequence: 3 seconds of 'Maya' saying 'Our revenue grew 40% this year' in a confident tone, then a 2-second pause, then 'Clara' saying 'Here's how we did it' in a calm tone

Composed audio file ready: typecast_sequence_20250115.wav (duration: 15.1 seconds, 48kHz WAV). Segment breakdown: [0.0–3.2s] Maya/confident, [3.2–5.2s] silence, [5.2–15.1s] Clara/calm. The Compose Speech tool stitched these segments into a single file without gaps or clicks. This generation consumed 2 credits (multi-voice compositions cost more than single-voice). The output includes a JSON manifest with exact segment timestamps if you need to re-edit or add visual cues in post-production.

Compose Speech is Typecast's power tool for narrative audio with multiple speakers or timed pauses. It's ideal for podcast intros, explainer videos, or IVR prompts where you need precise control over pacing and voice transitions. The credit cost is higher than simple generation, and you must specify voice IDs upfront (use Recommend Voices first if you're unsure which voices to pair).

When Typecast beats hiring a voice actor for product videos

A three-person SaaS team shipping a feature demo every two weeks needs voiceover fast. Typecast wins here because Generate Speech and Compose Speech let you script, render, and revise narration in under an hour—no recording booth, no retakes with a freelancer. The Recommend Voices tool surfaces options that match your brand tone in plain English, and Generate Speech With Timestamps syncs the audio to your video timeline. The trade-off: if your demo needs character acting or emotional range beyond the available emotions per voice, you'll hear the synthetic ceiling. But for explainer videos, onboarding walkthroughs, or changelog announcements where clarity and speed matter more than Hollywood polish, Typecast closes the loop in a single Switchy chat.

Why Typecast falls short for long-form podcast production

A four-person content team producing a weekly 30-minute podcast considers Typecast for draft reads before recording. The MCP can generate full episodes via Generate Speech, but the workflow breaks at revision: each script tweak requires re-rendering the entire file, and the seven-tool scope doesn't include segment editing or multi-speaker scene management. Compose Speech helps string clips together, but manually splitting a 30-minute script into pausable segments is slower than just reading it aloud. The real threshold: if your podcast is under five minutes and single-voice (a weekly tip, a changelog summary), Typecast works. Beyond that, you're better off recording rough takes in Descript or Riverside and using Typecast only for intro/outro bumpers where synthetic voice is an asset, not a compromise.

When Typecast is the right call for phone-tree prompts

A six-person support ops team updates IVR prompts monthly as product features change. Typecast is built for this: Generate Speech renders each prompt in under a minute, List Voices filters by use case to find the right professional tone, and the API-key auth means the team can trigger renders from a Notion doc or Airtable base without leaving Switchy. The concurrency limit (visible via Get Subscription) matters if you're rendering 50 prompts at once, but most teams batch updates in sets of ten. The buying call is simple—if your IVR changes more than twice a quarter and you're currently paying a voice actor per revision, Typecast pays for itself in the first month. The only miss: if your brand voice is a specific human (your CEO, a mascot character), synthetic won't match.