Skip to main content

braidio

Weave commentary — solo, duo, panel, debate, interview, documentary — with source clips into a production.

braidio braids the strands of a piece that talks about something (a song, a book, a film, an event) into one rendered production. The talk is the spine — a single presenter, two hosts, a panel, a narrator — and source clips and narration bridges are the "illustration" layers woven onto it. Audio today, with visual support to follow (it braids A/V — braid-io, and it sounds like radio).

Two things braidio gives you:

  1. Ready-made format templates under the standard, industry names people already recognize — Deep Dive, Song Exploder-style, Panel, Debate, Documentary VO — each a high-quality bundle of defaults you can render in one call.
  2. Full parametrization underneath, so any style is expressible: a Script of beats, cast via a ConversationCast, tuned by WeaveConfig + Delivery, with per-beat voice/delivery overrides.

Status: early. braidio is extracted from the Hamilton lyrics-podcast (its first application) into a reusable engine. APIs will move quickly.

The model

A production is a Script — an ordered list of beats:

Beat What it is
Narration(text, voice?, voice_settings?, …) one voice reading — a narrator or a solo presenter. voice / voice_settings override per beat, so one timeline can carry a lively presenter and a graver book-narrator.
Dialogue(turns=[(role, text)]) a multi-speaker exchange, synthesized in one pass (so it sounds like people talking to each other, not alternating monologues). A ConversationCast maps roles → voices.
SegmentBeat(reference) a span of source media to cut and weave in (resolved by a pluggable SegmentSource — quote → [start, end]).

WeaveConfig holds every editing knob (casting, turns, pacing, clip pre/post-roll, duck, crossfades, loudness). Delivery presets bundle the TTS model + voice settings (e.g. V2_PRESENTER lively vs V2_NARRATOR grave). The renderer loudness-normalizes every part, tucks clips under the speech (speech stays dominant), and masters the result.

Ready-made formats

Pick a standard format and render it — the template supplies the cast, voices, delivery and mix defaults:

from braidio import DEEP_DIVE, render_format

render_format(DEEP_DIVE, script, source=my_source, out_path="episode.mp3")
Preset id Standard name Shape
solo_explainer Solo-Presenter Explainer (video/audio essay, close reading) one presenter + exhibits
deep_dive Two-Host Conversation ("Deep Dive", Switched on Pop, NotebookLM) two hosts; one teaches, one probes
interview Interview (host + guest) Q→A, guest is the center
interview_host_removed Song Exploder-style (host removed) guest monologue; each claim illustrated by its isolated stem; full artifact at the tail
panel Panel / Roundtable (Pop Culture Happy Hour) moderator routes distinct voices
debate Debate (Oxford-style) proposition / opposition / moderator, phased
documentary_vo Documentary Voice-Over ("Voice of God", This American Life) narrator on top; interviews + clips + actuality beneath

Narration bridges and source clips are optional illustration layers usable with any format. The taxonomy, weaving grammar, exemplar recipes and the full template specs are in misc/docs/research/commentary-formats-and-styles.md.

Render support note: the cast, per-role voices, narration deliveries, loudness master, per-clip placementSegmentBeat(placement="before" | "under" | "after"), where under lays the clip concurrently beneath the talk, ducked — and a music bed (MusicBed, an app-supplied instrumental laid under the whole production) are applied today. Scene stings and fade-to-spotlight (dropping the bed before a key exhibit) remain on the render-side roadmap (braidio#1).

Parametrize anything

The templates are just good defaults over the primitives — compose directly for full control:

from braidio import Script, Dialogue, Narration, SegmentBeat, WeaveConfig
from braidio.conversation import ConversationCast, JESSICA, CHRIS
from braidio import V2_NARRATOR, render_production

script = Script(
    title="…",
    id_slug="01",
    beats=[
        Dialogue(
            (("A", "First thing that gets me…"), ("B", "right — but isn't that…"))
        ),
        SegmentBeat("the lyric being discussed", label="hook"),
        Narration(
            "Here's how the book tells it —", voice_settings=V2_NARRATOR.voice_settings
        ),  # graver, per-beat
    ],
)
render_production(
    script,
    source=my_source,
    cast=ConversationCast(roles={"A": JESSICA, "B": CHRIS}),
    config=WeaveConfig(),
    out_path="out.mp3",
)

Cost tracking

ElevenLabs TTS is braidio's only spend (everything else is local ffmpeg). braidio.estimate_cost(script) previews a production's cost before you pay for synthesis, and real renders attribute a per-character cost onto their artifacts. Dollars are a rate estimate — set your ElevenLabs plan's rate for exact figures:

Env var Meaning
BRAIDIO_TTS_USD_PER_1K_CHARS USD per 1000 characters. Unset → a conservative default; none → mark spend unpriced (character counts still reported, dollars None).
BRAIDIO_TTS_VOICE Default ElevenLabs voice id for narration.

What it deliberately does not do

braidio is a thin orchestration layer. It delegates:

Concern Owner
Content acquisition (Genius, audiobooks, news…) the consuming app, via SegmentSource adapters
Linked-artifact graph / content-addressed media lacing
Project workflow, provenance, plan/execute, partial re-render nw
Video render + visual support reelee
Raw audio DSP + TTS (crop, concat, duck, loudnorm, synth) mixing / falaw

braidio orchestrates these; it never reimplements the DSP or the graph.

Ecosystem

braidio is a production kind on top of nw — a reusable definition of "commentary that weaves talk with extracted media" — the way a music video is another production kind. It sits on lacing (graph) + nw (workflow / provenance) + mixing/falaw (audio/TTS), and will use reelee for video. The optional nw-app layer (braidio.HAS_GRAPH / HAS_NW) records render choices as provenance so a change re-renders only the affected parts.

Install

pip install braidio   # (once published)

License

MIT

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

braidio-0.0.16.tar.gz (188.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

braidio-0.0.16-py3-none-any.whl (106.0 kB view details)

Uploaded Python 3

File details

Details for the file braidio-0.0.16.tar.gz.

File metadata

  • Download URL: braidio-0.0.16.tar.gz
  • Upload date:
  • Size: 188.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for braidio-0.0.16.tar.gz
Algorithm Hash digest
SHA256 35d6d7b70c27a613a063ec448167938768b98d23a47fd9ba6a7ab688d572c81d
MD5 b618be96972ec20b73b7f08d86ffc0ac
BLAKE2b-256 a8760fb0631342465599cdd86d2ce277cd809072058ccfeafff4ce957a3daa65

See more details on using hashes here.

File details

Details for the file braidio-0.0.16-py3-none-any.whl.

File metadata

  • Download URL: braidio-0.0.16-py3-none-any.whl
  • Upload date:
  • Size: 106.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.12.3 {"installer":{"name":"uv","version":"0.12.3","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for braidio-0.0.16-py3-none-any.whl
Algorithm Hash digest
SHA256 9088a1f1fa65cf801178a563210e7d679d6bc0935a153903f09c7efba8558dc8
MD5 390f99f256589c6ff1ea6776238b8cb1
BLAKE2b-256 50f929f470eef8b378d889411fbd0d54aadec5ff24af4b111afe50d960236ae6

See more details on using hashes here.

Release history Release notifications | RSS feed

0.0.27

2 files

0.0.26

2 files

0.0.25

2 files

0.0.24

2 files

0.0.23

2 files

0.0.22

2 files

0.0.21

2 files

0.0.20

2 files

0.0.19

2 files

0.0.18

2 files

0.0.17

2 files

This release

0.0.16 This release

2 files

0.0.15

2 files

0.0.14

2 files

0.0.13

2 files

0.0.12

2 files

0.0.11

2 files

0.0.10

2 files

0.0.9

2 files

0.0.8

2 files

0.0.7

2 files

0.0.6

2 files

0.0.5

2 files

0.0.4

2 files

0.0.3

2 files

0.0.2

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page